**Analysis of Variance**: A statistical technique that isolates and assesses the contributions of categorical independent variables to variation in the mean of a continuous dependent variable.

**Models, Genetic**: Theoretical representations that simulate the behavior or activity of genetic processes or phenomena. They include the use of mathematical equations, computers, and other electronic equipment.

**Genetic Variation**: Genotypic differences observed among individuals in a population.

**Breeding**: The production of offspring by selective mating or HYBRIDIZATION, GENETIC in animals or plants.

**Quantitative Trait, Heritable**: A characteristic showing quantitative inheritance such as SKIN PIGMENTATION in humans. (From A Dictionary of Genetics, 4th ed)

**Models, Statistical**: Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.

**Reproducibility of Results**: The statistical reproducibility of measurements (often in a clinical context), including the testing of instrumentation or techniques to obtain reproducible results. The concept includes reproducibility of physiological measurements, which may be used to develop rules to assess probability or prognosis, or response to a stimulus; reproducibility of occurrence of a condition; and reproducibility of experimental results.

**Regression Analysis**: Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable.

**Quantitative Trait Loci**: Genetic loci associated with a QUANTITATIVE TRAIT.

**Phenotype**: The outward appearance of the individual. It is the product of interactions between genes, and between the GENOTYPE and the environment.

**Environment**: The external elements and conditions which surround, influence, and affect the life and development of an organism or population.

**Linear Models**: Statistical models in which the value of a parameter for a given value of a factor is assumed to be equal to a + bx, where a and b are constants. The models predict a linear regression.

**Twins, Dizygotic**: Two offspring from the same PREGNANCY. They are from two OVA, fertilized at about the same time by two SPERMATOZOA. Such twins are genetically distinct and can be of different sexes.

**Computer Simulation**: Computer-based representation of physical systems and phenomena such as chemical processes.

**Twins, Monozygotic**: Two off-spring from the same PREGNANCY. They are from a single fertilized OVUM that split into two EMBRYOS. Such twins are usually genetically identical and of the same sex.

**Likelihood Functions**: Functions constructed from a statistical model and a set of observed data which give the probability of that data for various values of the unknown model parameters. Those parameter values that maximize the probability are the maximum likelihood estimates of the parameters.

**Algorithms**: A procedure consisting of a sequence of algebraic formulas and/or logical steps to calculate or determine a given task.

**Data Interpretation, Statistical**: Application of statistical procedures to analyze specific observed or assumed facts from a particular study.

**Genotype**: The genetic constitution of the individual, comprising the ALLELES present at each GENETIC LOCUS.

**Selection, Genetic**: Differential and non-random reproduction of different genotypes, operating to alter the gene frequencies within a population.

**Genetics, Population**: The discipline studying genetic composition of populations and effects of factors such as GENETIC SELECTION, population size, MUTATION, migration, and GENETIC DRIFT on the frequencies of various GENOTYPES and PHENOTYPES using a variety of GENETIC TECHNIQUES.

**Factor Analysis, Statistical**: A set of statistical methods for analyzing the correlations among several variables in order to estimate the number of fundamental dimensions that underlie the observed data and to describe and measure those dimensions. It is used frequently in the development of scoring systems for rating scales and questionnaires.

**Inheritance Patterns**: The different ways GENES and their ALLELES interact during the transmission of genetic traits that effect the outcome of GENE EXPRESSION.

**Inbreeding**: The mating of plants or non-human animals which are closely related genetically.

**Time Factors**: Elements of limited time intervals, contributing to particular results or situations.

**Questionnaires**: Predetermined sets of questions used to collect data - clinical data, social status, occupational group, etc. The term is often applied to a self-completed survey instrument.

**Principal Component Analysis**: Mathematical procedure that transforms a number of possibly correlated variables into a smaller number of uncorrelated variables called principal components.

**Bayes Theorem**: A theorem in probability theory named for Thomas Bayes (1702-1761). In epidemiology, it is used to obtain the probability of disease in a group of people with some characteristic on the basis of the overall rate of that disease and of the likelihood of that characteristic in healthy and diseased individuals. The most familiar application is in clinical decision analysis where it is used for estimating the probability of a particular diagnosis given the appearance of some symptoms or test result.

**Monte Carlo Method**: In statistics, a technique for numerically approximating the solution of a mathematical problem by studying the distribution of some random variable, often generated by a computer. The name alludes to the randomness characteristic of the games of chance played at the gambling casinos in Monte Carlo. (From Random House Unabridged Dictionary, 2d ed, 1993)

**Statistics as Topic**: The science and art of collecting, summarizing, and analyzing data that are subject to random variation. The term is also applied to the data themselves and to the summarization of the data.

**Crosses, Genetic**: Deliberate breeding of two different individuals that results in offspring that carry part of the genetic material of each parent. The parent organisms must be genetically compatible and may be from different varieties or closely related species.

**Models, Biological**: Theoretical representations that simulate the behavior or activity of biological processes or diseases. For disease models in living animals, DISEASE MODELS, ANIMAL is available. Biological models include the use of mathematical equations, computers, and other electronic equipment.

**Genetic Markers**: A phenotypically recognizable genetic trait which can be used to identify a genetic locus, a linkage group, or a recombination event.

**Twins**: Two individuals derived from two FETUSES that were fertilized at or about the same time, developed in the UTERUS simultaneously, and born to the same mother. Twins are either monozygotic (TWINS, MONOZYGOTIC) or dizygotic (TWINS, DIZYGOTIC).

**Body Weight**: The mass or quantity of heaviness of an individual. It is expressed by units of pounds or kilograms.

**Epistasis, Genetic**: A form of gene interaction whereby the expression of one gene interferes with or masks the expression of a different gene or genes. Genes whose expression interferes with or masks the effects of other genes are said to be epistatic to the effected genes. Genes whose expression is affected (blocked or masked) are hypostatic to the interfering genes.

**Genetic Linkage**: The co-inheritance of two or more non-allelic GENES due to their being located more or less closely on the same CHROMOSOME.

**Alleles**: Variant forms of the same gene, occupying the same locus on homologous CHROMOSOMES, and governing the variants in production of the same gene product.

**Sample Size**: The number of units (persons, animals, patients, specified circumstances, etc.) in a population to be studied. The sample size should be big enough to have a high likelihood of detecting a true difference between two groups. (From Wassertheil-Smoller, Biostatistics and Epidemiology, 1990, p95)

**Chromosome Mapping**: Any method used for determining the location of and relative distances between genes on a chromosome.

**Psychometrics**: Assessment of psychological variables by the application of mathematical procedures.

**Sex Factors**: Maleness or femaleness as a constituent element or influence contributing to the production of a result. It may be applicable to the cause or effect of a circumstance. It is used with human or animal concepts but should be differentiated from SEX CHARACTERISTICS, anatomical or physiological manifestations of sex, and from SEX DISTRIBUTION, the number of males and females in given circumstances.

**Cross-Sectional Studies**: Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time.

**Diseases in Twins**: Disorders affecting TWINS, one or both, at any age.

**Age Factors**: Age as a constituent element or influence contributing to the production of a result. It may be applicable to the cause or the effect of a circumstance. It is used with human or animal concepts but should be differentiated from AGING, a physiological process, and TIME FACTORS which refers only to the passage of time.

**Weaning**: Permanent deprivation of breast milk and commencement of nourishment with other food. (From Stedman, 25th ed)

**Cattle**: Domesticated bovine animals of the genus Bos, usually kept on a farm or ranch and used for the production of meat or dairy products or for heavy labor.

**Polymorphism, Single Nucleotide**: A single nucleotide variation in a genetic sequence that occurs at appreciable frequency in the population.

**Biometry**: The use of statistical and mathematical methods to analyze biological observations and phenomena.

**Reference Values**: The range or frequency distribution of a measurement in a population (of organisms, organs or things) that has not been selected for the presence of disease or abnormality.

**Sex Characteristics**: Those characteristics that distinguish one SEX from the other. The primary sex characteristics are the OVARIES and TESTES and their related hormones. Secondary sex characteristics are those which are masculine or feminine but not directly related to reproduction.

**Multifactorial Inheritance**: A phenotypic outcome (physical characteristic or disease predisposition) that is determined by more than one gene. Polygenic refers to those determined by many genes, while oligogenic refers to those determined by a few genes.

**Gene Frequency**: The proportion of one particular in the total of all ALLELES for one genetic locus in a breeding POPULATION.

**Gene-Environment Interaction**: The combined effects of genotypes and environmental factors together on phenotypic characteristics.

**Longitudinal Studies**: Studies in which variables relating to an individual or group of individuals are assessed over a period of time.

**Aging**: The gradual irreversible changes in structure and function of an organism that occur as a result of the passage of time.

**Image Processing, Computer-Assisted**: A technique of inputting two-dimensional images into a computer and then enhancing or analyzing the imagery into a form that is more useful to the human observer.

**Models, Theoretical**: Theoretical representations that simulate the behavior or activity of systems, processes, or phenomena. They include the use of mathematical equations, computers, and other electronic equipment.

**Sensitivity and Specificity**: Binary classification measures to assess test results. Sensitivity or recall rate is the proportion of true positives. Specificity is the probability of correctly determining the absence of a condition. (From Last, Dictionary of Epidemiology, 2d ed)

**Observer Variation**: The failure by the observer to measure or identify a phenomenon accurately, which results in an error. Sources for this may be due to the observer's missing an abnormality, or to faulty technique resulting in incorrect test measurement, or to misinterpretation of the data. Two varieties are inter-observer variation (the amount observers vary from one another when reporting on the same material) and intra-observer variation (the amount one observer varies between observations when reporting more than once on the same material).

**Genome-Wide Association Study**: An analysis comparing the allele frequencies of all available (or a whole GENOME representative set of) polymorphic markers in unrelated patients with a specific symptom or disease condition, and those of healthy controls to identify markers associated with a specific disease or condition.

**Twin Studies as Topic**: Methods of detecting genetic etiology in human traits. The basic premise of twin studies is that monozygotic twins, being formed by the division of a single fertilized ovum, carry identical genes, while dizygotic twins, being formed by the fertilization of two ova by two different spermatozoa, are genetically no more similar than two siblings born after separate pregnancies. (Last, J.M., A Dictionary of Epidemiology, 2d ed)

**Mathematics**: The deductive study of shape, quantity, and dependence. (From McGraw-Hill Dictionary of Scientific and Technical Terms, 6th ed)

**Least-Squares Analysis**: A principle of estimation in which the estimates of a set of parameters in a statistical model are those quantities minimizing the sum of squared differences between the observed values of a dependent variable and the values predicted by the model.

**Probability**: The study of chance processes or the relative frequency characterizing a chance process.

**Bias (Epidemiology)**: Any deviation of results or inferences from the truth, or processes leading to such deviation. Bias can result from several sources: one-sided or systematic variations in measurement from the true value (systematic error); flaws in study design; deviation of inferences, interpretations, or analyses based on flawed data or data collection; etc. There is no sense of prejudice or subjectivity implied in the assessment of bias under these conditions.

**Mathematical Computing**: Computer-assisted interpretation and analysis of various mathematical functions related to a particular problem.

**Neuropsychological Tests**: Tests designed to assess neurological function associated with certain behaviors. They are used in diagnosing brain dysfunction or damage and central nervous system disorders or injury.

**Magnetic Resonance Imaging**: Non-invasive method of demonstrating internal anatomy based on the principle that atomic nuclei in a strong magnetic field absorb pulses of radiofrequency energy and emit them as radiowaves which can be reconstructed into computerized images. The concept includes proton spin tomographic techniques.

**Microsatellite Repeats**: A variety of simple repeat sequences that are distributed throughout the GENOME. They are characterized by a short repeat unit of 2-8 basepairs that is repeated up to 100 times. They are also known as short tandem repeats (STRs).

**Biomechanical Phenomena**: The properties, processes, and behavior of biological systems under the action of mechanical forces.

**Risk Factors**: An aspect of personal behavior or lifestyle, environmental exposure, or inborn or inherited characteristic, which, on the basis of epidemiologic evidence, is known to be associated with a health-related condition considered important to prevent.

**Cohort Studies**: Studies in which subsets of a defined population are identified. These groups may or may not be exposed to factors hypothesized to influence the probability of the occurrence of a particular disease or other outcome. Cohorts are defined populations which, as a whole, are followed in an attempt to determine distinguishing subgroup characteristics.

**Biological Evolution**: The process of cumulative change over successive generations through which organisms acquire their distinguishing morphological and physiological characteristics.

**Severity of Illness Index**: Levels within a diagnostic group which are established by various measurement criteria applied to the seriousness of a patient's disorder.

**Genetic Heterogeneity**: The presence of apparently similar characters for which the genetic evidence indicates that different genes or different genetic mechanisms are involved in different pedigrees. In clinical settings genetic heterogeneity refers to the presence of a variety of genetic defects which cause the same disease, often due to mutations at different loci on the same gene, a finding common to many human diseases including ALZHEIMER DISEASE; CYSTIC FIBROSIS; LIPOPROTEIN LIPASE DEFICIENCY, FAMILIAL; and POLYCYSTIC KIDNEY DISEASES. (Rieger, et al., Glossary of Genetics: Classical and Molecular, 5th ed; Segen, Dictionary of Modern Medicine, 1992)

**Stochastic Processes**: Processes that incorporate some element of randomness, used particularly to refer to a time series of random variables.

**Reproduction**: The total process by which organisms produce offspring. (Stedman, 25th ed)

**Multivariate Analysis**: A set of techniques used when variation in several variables has to be studied simultaneously. In statistics, multivariate analysis is interpreted as any analytic method that allows simultaneous study of two or more dependent variables.

**Genetic Predisposition to Disease**: A latent susceptibility to disease at the genetic level, which may be activated under certain conditions.

**Animals, Domestic**: Animals which have become adapted through breeding in captivity to a life intimately associated with humans. They include animals domesticated by humans to live and breed in a tame condition on farms or ranches for economic reasons, including LIVESTOCK (specifically CATTLE; SHEEP; HORSES; etc.), POULTRY; and those raised or kept for pleasure and companionship, e.g., PETS; or specifically DOGS; CATS; etc.

**Genetic Pleiotropy**: A phenomenon in which multiple and diverse phenotypic outcomes are influenced by a single gene (or single gene product.)

**Gene Expression Profiling**: The determination of the pattern of genes expressed at the level of GENETIC TRANSCRIPTION, under specific circumstances or in a specific cell.

**Models, Psychological**: Theoretical representations that simulate psychological processes and/or social processes. These include the use of mathematical equations, computers, and other electronic equipment.

**Prospective Studies**: Observation of a population for a sufficient number of persons over a sufficient number of years to generate incidence or mortality rates subsequent to the selection of the study group.

**Pedigree**: The record of descent or ancestry, particularly of a particular condition or trait, indicating individual family members, their relationships, and their status with respect to the trait or condition.

**Population Density**: Number of individuals in a population relative to space.

**Litter Size**: The number of offspring produced at one birth by a viviparous animal.

**Materials Testing**: The testing of materials and devices, especially those used for PROSTHESES AND IMPLANTS; SUTURES; TISSUE ADHESIVES; etc., for hardness, strength, durability, safety, efficacy, and biocompatibility.

**Oligonucleotide Array Sequence Analysis**: Hybridization of a nucleic acid sample to a very large set of OLIGONUCLEOTIDE PROBES, which have been attached individually in columns and rows to a solid support, to determine a BASE SEQUENCE, or to detect variations in a gene sequence, GENE EXPRESSION, or for GENE MAPPING.

**Quality of Life**: A generic concept reflecting concern with the modification and enhancement of life attributes, e.g., physical, political, moral and social environment; the overall condition of a human life.

**Cluster Analysis**: A set of statistical methods used to group variables or observations into strongly inter-related subgroups. In epidemiology, it may be used to analyze a closely grouped series of events or cases of disease or other health-related phenomenon with well-defined distribution patterns in relation to time or place or both.

**Body Mass Index**: An indicator of body density as determined by the relationship of BODY WEIGHT to BODY HEIGHT. BMI=weight (kg)/height squared (m2). BMI correlates with body fat (ADIPOSE TISSUE). Their relationship varies with age and gender. For adults, BMI falls into these categories: below 18.5 (underweight); 18.5-24.9 (normal); 25.0-29.9 (overweight); 30.0 and above (obese). (National Center for Health Statistics, Centers for Disease Control and Prevention)

**Normal Distribution**: Continuous frequency distribution of infinite range. Its properties are as follows: 1, continuous, symmetrical distribution with both tails extending to infinity; 2, arithmetic mean, mode, and median identical; and 3, shape completely determined by the mean and standard deviation.

**Binomial Distribution**: The probability distribution associated with two mutually exclusive outcomes; used to model cumulative incidence rates and prevalence rates. The Bernoulli distribution is a special case of binomial distribution.

**Doppler Effect**: Changes in the observed frequency of waves (as sound, light, or radio waves) due to the relative motion of source and observer. The effect was named for the 19th century Austrian physicist Johann Christian Doppler.

**Predictive Value of Tests**: In screening and diagnostic tests, the probability that a person with a positive test is a true positive (i.e., has the disease), is referred to as the predictive value of a positive test; whereas, the predictive value of a negative test is the probability that the person with a negative test does not have the disease. Predictive value is related to the sensitivity and specificity of the test.

**Polymorphism, Genetic**: The regular and simultaneous occurrence in a single interbreeding population of two or more discontinuous genotypes. The concept includes differences in genotypes ranging in size from a single nucleotide site (POLYMORPHISM, SINGLE NUCLEOTIDE) to large nucleotide sequences visible at a chromosomal level.

**Dental Stress Analysis**: The description and measurement of the various factors that produce physical stress upon dental restorations, prostheses, or appliances, materials associated with them, or the natural oral structures.

**Signal-To-Noise Ratio**: The comparison of the quantity of meaningful data to the irrelevant or incorrect data.

**Social Environment**: The aggregate of social and cultural institutions, forms, patterns, and processes that influence the life of an individual or community.

**Cognition**: Intellectual or mental process whereby an organism obtains knowledge.

**Orthodontic Brackets**: Small metal or ceramic attachments used to fasten an arch wire. These attachments are soldered or welded to an orthodontic band or cemented directly onto the teeth. Bowles brackets, edgewise brackets, multiphase brackets, ribbon arch brackets, twin-wire brackets, and universal brackets are all types of orthodontic brackets.

**Body Composition**: The relative amounts of various components in the body, such as percentage of body fat.

**Psychomotor Performance**: The coordination of a sensory or ideational (cognitive) process and a motor activity.

**Brain**: The part of CENTRAL NERVOUS SYSTEM that is contained within the skull (CRANIUM). Arising from the NEURAL TUBE, the embryonic brain is comprised of three major parts including PROSENCEPHALON (the forebrain); MESENCEPHALON (the midbrain); and RHOMBENCEPHALON (the hindbrain). The developed brain consists of CEREBRUM; CEREBELLUM; and other structures in the BRAIN STEM.

**Heredity**: The transmission of traits encoded in GENES from parent to offspring.

**Statistics, Nonparametric**: A class of statistical methods applicable to a large set of probability distributions used to test for correlation, location, independence, etc. In most nonparametric statistical tests, the original scores or observations are replaced by another variable containing less information. An important class of nonparametric tests employs the ordinal properties of the data. Another class of tests uses information about whether an observation is above or below some fixed value such as the median, and a third class is based on the frequency of the occurrence of runs in the data. (From McGraw-Hill Dictionary of Scientific and Technical Terms, 4th ed, p1284; Corsini, Concise Encyclopedia of Psychology, 1987, p764-5)

**Lod Score**: The total relative probability, expressed on a logarithmic scale, that a linkage relationship exists among selected loci. Lod is an acronym for "logarithmic odds."

**Animal Husbandry**: The science of breeding, feeding and care of domestic animals; includes housing and nutrition.

**Models, Neurological**: Theoretical representations that simulate the behavior or activity of the neurological system, processes or phenomena; includes the use of mathematical equations, computers, and other electronic equipment.

**Adaptation, Psychological**: A state of harmony between internal needs and external demands and the processes used in achieving this condition. (From APA Thesaurus of Psychological Index Terms, 8th ed)

**Movement**: The act, process, or result of passing from one place or position to another. It differs from LOCOMOTION in that locomotion is restricted to the passing of the whole body from one place to another, while movement encompasses both locomotion but also a change of the position of the whole body or any of its parts. Movement may be used with reference to humans, vertebrate and invertebrate animals, and microorganisms. Differentiate also from MOTOR ACTIVITY, movement associated with behavior.

**Orthodontic Wires**: Wires of various dimensions and grades made of stainless steel or precious metal. They are used in orthodontic treatment.

**Genetic Drift**: The fluctuation of the ALLELE FREQUENCY from one generation to the next.

**Birth Weight**: The mass or quantity of heaviness of an individual at BIRTH. It is expressed by units of pounds or kilograms.

**Research Design**: A plan for collecting and utilizing data so that desired information can be obtained with sufficient precision or so that an hypothesis can be tested properly.

**Stress, Psychological**: Stress wherein emotional factors predominate.

**Body Size**: The physical measurements of a body.

**Haplotypes**: The genetic constitution of individuals with respect to one member of a pair of allelic genes, or sets of genes that are closely linked and tend to be inherited together such as those of the MAJOR HISTOCOMPATIBILITY COMPLEX.

**Genetics, Behavioral**: The experimental study of the relationship between the genotype of an organism and its behavior. The scope includes the effects of genes on simple sensory processes to complex organization of the nervous system.

**Case-Control Studies**: Studies which start with the identification of persons with a disease of interest and a control (comparison, referent) group without the disease. The relationship of an attribute to the disease is examined by comparing diseased and non-diseased persons with regard to the frequency or levels of the attribute in each group.

**Posture**: The position or attitude of the body.

**Population**: The total number of individuals inhabiting a particular region or area.

**Software**: Sequential operating programs and data which instruct the functioning of a digital computer.

**Depression**: Depressive states usually of moderate intensity in contrast with major depression present in neurotic and psychotic disorders.

**Weight Gain**: Increase in BODY WEIGHT over existing weight.

**Family**: A social group consisting of parents or parent substitutes and children.

**Artifacts**: Any visible result of a procedure which is caused by the procedure itself and not by the entity being analyzed. Common examples include histological structures introduced by tissue processing, radiographic images of structures that are not naturally present in living tissue, and products of chemical reactions that occur during analysis.

**United States**

**Pregnancy**: The status during which female mammals carry their developing young (EMBRYOS or FETUSES) in utero before birth, beginning from FERTILIZATION to BIRTH.

**Individuality**: Those psychological characteristics which differentiate individuals from one another.

**Seasons**: Divisions of the year according to some regularly recurrent phenomena usually astronomical or climatic. (From McGraw-Hill Dictionary of Scientific and Technical Terms, 6th ed)

**Treatment Outcome**: Evaluation undertaken to assess the results or consequences of management and procedures used in combating disease in order to determine the efficacy, effectiveness, safety, and practicability of these interventions in individual cases or series.

**European Continental Ancestry Group**: Individuals whose ancestral origins are in the continent of Europe.

**Anthropometry**: The technique that deals with the measurement of the size, weight, and proportions of the human or other primate body.

**Self Efficacy**: Cognitive mechanism based on expectations or beliefs about one's ability to perform actions necessary to produce a given effect. It is also a theoretical component of behavior change in various therapeutic treatments. (APA, Thesaurus of Psychological Index Terms, 1994)

**Fertility**: The capacity to conceive or to induce conception. It may refer to either the male or female.

**Ulna**: The inner and longer bone of the FOREARM.

**Poisson Distribution**: A distribution function used to describe the occurrence of rare events or to describe the sampling distribution of isolated counts in a continuum of time or space.

**Task Performance and Analysis**: The detailed examination of observable activity or behavior associated with the execution or completion of a required function or unit of work.

**Activities of Daily Living**: The performance of the basic activities of self care, such as dressing, ambulation, or eating.

**Sampling Studies**: Studies in which a number of subjects are selected from all subjects in a defined population. Conclusions based on sample results may be attributed only to the population sampled.

**Personality Inventory**: Check list, usually to be filled out by a person about himself, consisting of many statements about personal characteristics which the subject checks.

**Geography**: The science dealing with the earth and its life, especially the description of land, sea, and air and the distribution of plant and animal life, including humanity and human industries with reference to the mutual relations of these elements. (From Webster, 3d ed)

**Personality**: Behavior-response patterns that characterize the individual.

**Body Constitution**: The physical characteristics of the body, including the mode of performance of functions, the activity of metabolic processes, the manner and degree of reactions to stimuli, and power of resistance to the attack of pathogenic organisms.

**Disability Evaluation**: Determination of the degree of a physical, mental, or emotional handicap. The diagnosis is applied to legal qualification for benefits and income under disability insurance and to eligibility for Social Security and workmen's compensation benefits.

**Reaction Time**: The time from the onset of a stimulus until a response is observed.

**Siblings**: Persons or animals having at least one parent in common. (American College Dictionary, 3d ed)

**Anxiety**: Feeling or emotion of dread, apprehension, and impending disaster but not disabling as with ANXIETY DISORDERS.

**Markov Chains**: A stochastic process such that the conditional probability distribution for a state at any future instant, given the present state, is unaffected by any additional knowledge of the past history of the system.

**Dental Alloys**: A mixture of metallic elements or compounds with other metallic or metalloid elements in varying proportions for use in restorative or prosthetic dentistry.

**Self Concept**: A person's view of himself.

**Demography**: Statistical interpretation and description of a population with reference to distribution, composition, or structure.

**Health Status**: The level of health of the individual, group, or population as subjectively assessed by the individual or by more objective measures.

**Swine**: Any of various animals that constitute the family Suidae and comprise stout-bodied, short-legged omnivorous mammals with thick skin, usually covered with coarse bristles, a rather long mobile snout, and small tail. Included are the genera Babyrousa, Phacochoerus (wart hogs), and Sus, the latter containing the domestic pig (see SUS SCROFA).

**Statistical Distributions**: The complete summaries of the frequencies of the values or categories of a measurement made on a group of items, a population, or other collection of data. The distribution tells either how many or what proportion of the group was found to have each value (or each range of values) out of all the possible values that the quantitative measure can have.

**Image Interpretation, Computer-Assisted**: Methods developed to aid in the interpretation of ultrasound, radiographic images, etc., for diagnosis of disease.

**Heterozygote**: An individual having different alleles at one or more loci regarding a specific character.

**Body Height**: The distance from the sole to the crown of the head with body standing on a flat surface and fully extended.

**Psychiatric Status Rating Scales**: Standardized procedures utilizing rating scales or interview schedules carried out by health personnel for evaluating the degree of mental illness.

**Cognition Disorders**: Disturbances in mental processes related to learning, thinking, reasoning, and judgment.

**Muscle, Skeletal**: A subtype of striated muscle, attached by TENDONS to the SKELETON. Skeletal muscles are innervated and their movement can be consciously controlled. They are also called voluntary muscles.

**Fingers**: Four or five slender jointed digits in humans and primates, attached to each HAND.

**Species Specificity**: The restriction of a characteristic behavior, anatomical structure or physical system, such as immune response; metabolic response, or gene or gene variant to the members of one species. It refers to that property which differentiates one species from another but it is also used for phylogenetic levels higher or lower than the species.

**Blood Pressure**: PRESSURE of the BLOOD on the ARTERIES and other BLOOD VESSELS.

**Range of Motion, Articular**: The distance and direction to which a bone joint can be extended. Range of motion is a function of the condition of the joints, muscles, and connective tissues involved. Joint flexibility can be improved through appropriate MUSCLE STRETCHING EXERCISES.

**Signal Processing, Computer-Assisted**: Computer-assisted processing of electric, ultrasonic, or electronic signals to interpret function and activity.

**Random Allocation**: A process involving chance used in therapeutic trials or other research endeavor for allocating experimental subjects, human or animal, between treatment and control groups, or among treatment groups. It may also apply to experiments on inanimate objects.

**Resin Cements**: Dental cements composed either of polymethyl methacrylate or dimethacrylate, produced by mixing an acrylic monomer liquid with acrylic polymers and mineral fillers. The cement is insoluble in water and is thus resistant to fluids in the mouth, but is also irritating to the dental pulp. It is used chiefly as a luting agent for fabricated and temporary restorations. (Jablonski's Dictionary of Dentistry, 1992, p159)

**Pain Measurement**: Scales, questionnaires, tests, and other methods used to assess pain severity and duration in patients or experimental animals to aid in diagnosis, therapy, and physiological studies.

**Genes, Dominant**: Genes that influence the PHENOTYPE both in the homozygous and the heterozygous state.

**Follow-Up Studies**: Studies in which individuals or populations are followed to assess the outcome of exposures, procedures, or effects of a characteristic, e.g., occurrence of disease.

**Motor Activity**: The physical activity of a human or an animal as a behavioral phenomenon.

**Socioeconomic Factors**: Social and economic factors that characterize the individual or group within the social structure.

**Obesity**: A status with BODY WEIGHT that is grossly above the acceptable or desirable weight, usually due to accumulation of excess FATS in the body. The standards may vary with age, sex, genetic or cultural background. In the BODY MASS INDEX, a BMI greater than 30.0 kg/m2 is considered obese, and a BMI greater than 40.0 kg/m2 is considered morbidly obese (MORBID OBESITY).

**Hand Strength**: Force exerted when gripping or grasping.

**Biological Markers**: Measurable and quantifiable biological parameters (e.g., specific enzyme concentration, specific hormone concentration, specific gene phenotype distribution in a population, presence of biological substances) which serve as indices for health- and physiology-related assessments, such as disease risk, psychiatric disorders, environmental exposure and its effects, disease diagnosis, metabolic processes, substance abuse, pregnancy, cell line development, epidemiologic studies, etc.

**Exercise**: Physical activity which is usually regular and done with the intention of improving or maintaining PHYSICAL FITNESS or HEALTH. Contrast with PHYSICAL EXERTION which is concerned largely with the physiologic and metabolic response to energy expenditure.

**Sexual Behavior, Animal**: Sexual activities of animals.

**Intention**: What a person has in mind to do or bring about.

**Biostatistics**: The application of STATISTICS to biological systems and organisms involving the retrieval or collection, analysis, reduction, and interpretation of qualitative and quantitative data.

**Nuclear Family**: A family composed of spouses and their children.

**Quality Control**: A system for verifying and maintaining a desired level of quality in a product or process by careful planning, use of proper equipment, continued inspection, and corrective action as required. (Random House Unabridged Dictionary, 2d ed)

**Numerical Analysis, Computer-Assisted**: Computer-assisted study of methods for obtaining useful quantitative solutions to problems that have been expressed mathematically.

**Genetic Association Studies**: The analysis of a sequence such as a region of a chromosome, a haplotype, a gene, or an allele for its involvement in controlling the phenotype of a specific trait, metabolic pathway, or disease.

**Mothers**: Female parents, human or animal.

**Orthodontic Appliance Design**: The planning, calculation, and creation of an apparatus for the purpose of correcting the placement or straightening of teeth.

**Environmental Monitoring**: The monitoring of the level of toxins, chemical pollutants, microbial contaminants, or other harmful substances in the environment (soil, air, and water), workplace, or in the bodies of people and animals present in that environment.

**Retrospective Studies**: Studies used to test etiologic hypotheses in which inferences about an exposure to putative causal factors are derived from data relating to characteristics of persons under study or to events or experiences in their past. The essential feature is that some of the persons under study have the disease or outcome of interest and their characteristics are compared with those of unaffected persons.

**Fatigue**: The state of weariness following a period of exertion, mental or physical, characterized by a decreased capacity for work and reduced efficiency to respond to stimuli.

**Weights and Measures**: Measuring and weighing systems and processes.

**Ecosystem**: A functional system which includes the organisms of a natural community together with their environment. (McGraw Hill Dictionary of Scientific and Technical Terms, 4th ed)

**Phylogeny**: The relationships of groups of organisms as reflected by their genetic makeup.

**Population Dynamics**: The pattern of any process, or the interrelationship of phenomena, which affects growth or change within a population.

**Calibration**: Determination, by measurement or comparison with a standard, of the correct value of each scale reading on a meter or other measuring instrument; or determination of the settings of a control device that correspond to particular values of voltage, current, frequency or other output.

**Imaging, Three-Dimensional**: The process of generating three-dimensional images by electronic, photographic, or other methods. For example, three-dimensional images can be generated by assembling multiple tomographic images with the aid of a computer, while photographic 3-D images (HOLOGRAPHY) can be made by exposing film to the interference pattern created when two laser light sources shine on an object.

**Psychological Tests**: Standardized tests designed to measure abilities, as in intelligence, aptitude, and achievement tests, or to evaluate personality traits.

**Motor Skills**: Performance of complex motor acts.

**Genome, Human**: The complete genetic complement contained in the DNA of a set of CHROMOSOMES in a HUMAN. The length of the human genome is about 3 billion base pairs.

#### **Analysis** **Of** **Variances** (ANOVA)

**Analysis**

**of**

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**analysis**of the variation between all of the variables used in an experiment. ...

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**analysis**of the variation between all of the variables used in an experiment.

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**Analysis**

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**Variances**- ANOVA'. This type of

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#### PPT - Two-way **Analysis** **of** **Variance** PowerPoint Presentation - ID:495973

Two-way **Analysis**

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#### **Analysis** **of** **Variance**

... Introduction. One-Way **Analysis**

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**Variance**. Nonparametric One-Way

**Analysis**

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**Variance**. Factorial ...

**Analysis**

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**Variance**. Linear Models. References. Book Contents. Previous. Next. Top. ...

okstate.edu/sas/v8/sashtml/analyst/chap10/index.htm

#### **Analysis** **of** **variance** for bayesian inference

It specifically addresses **variance**in Bayesian predictive distributions, showing that it may be decomposed into the sum of ... Depending on the application at hand, further decomposition of extrinsic or intrinsic

**variance**(or both) may be useful. The ... extrinsic

**variance**, arising from posterior uncertainty about parameters, and intrinsic

**variance**, which would exist even if ... multivariate distributions and provides a practical simulation algorithm to estimate the corresponding components

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https://ideas.repec.org/p/ecb/ecbwps/20111409.html

#### Repeated Measures **Analysis** **of** **Variance** Using R

**Analysis**Using SAS. The SAS code for this

**analysis**follows. Notice that only four predictors are used for the

**analysis**, and one ...

**Analysis**with Missing Data Before we go ahead and impute data for the missing values, we will look at an

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**analysis**are quite similar even though we have eliminated 35 ... So we need to use the term "intercept" in this

**analysis**. The results follow: In the web page referred to at the beginning of ...

uvm.edu/~dhowell/StatPages/Missing_Data/Missing-Logistic/MissingLogistic.html

#### **Analysis** **of** **Variance**

... Post Hoc **Analysis**A seminar is given to three levels of managers (highlevel, midlevel, lowlevel).The ...

**Analysis**

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**Analysis**You are a training manager for a manufacturing firm and have three new training programs to ... Diet Statistical

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#### Fundamentals of exploratory **analysis** **of** **variance** (Book, 1991) [WorldCat.org]

Fundamentals of exploratory **analysis**

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worldcat.org/title/fundamentals-of-exploratory-analysis-of-variance/oclc/23180322

#### **ANALYSIS** **OF** **VARIANCE** DESIGNS WITH DISPROPORTIONATE SUBCLASS NUMBERS

*STATISTICAL **ANALYSIS**

oai.dtic.mil/oai/oai?verb=getRecord&metadataPrefix=html&identifier=AD0044572

#### Introduction to **Analysis** **of** **Variance** Procedures :: SAS/STAT(R) 13.2 User's Guide

Overview: **Analysis**

**of**

**Variance**Procedures. *Statistical Details for

**Analysis**

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support.sas.com/documentation/cdl/en/statug/67523/HTML/default/statug_introanova_toc.htm

#### Index of /2/**analysis** **of** **variance**/ notes

Index of /2/**analysis**_

**of**_

**variance**/_notes. Name Last modified Size Description. Parent Directory - ...

onlinestatbook.com/2/analysis_of_variance/_notes/?C=N

#### Multivariate **Analysis** **of** **Variance** by James H. Bray (9780803923102)

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#### EN16 MeetMinitab | **Analysis** **Of** **Variance** | P Value

creating 9-3 customizing Minitab 9-1 A adding data to a worksheet 4-5 **analysis**

**of**

**variance**3-4 Tukey's multiple comparison test ... you display descriptive statistics and perform an

**analysis**

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**variance**(ANOVA) to test whether the differences among the ... automatic 9-2 ANOVA see

**analysis**

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**variance**Append to Report 7-2 arithmetic functions see Calculator arrow. creating 9-2 ... shows how to detect stastistically significant differences among means using

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#### The Design of Laboratory Control of Laundry Washrooms Based on an **Analysis** **of** **Variance**

... Published: 0 ... A method is described for employing an **analysis**

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**variance**to determine the precision of a control service to commercial ...

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#### GCP: Long Term Network **Variance** **Analysis**

Long Term Network **Variance**

**Analysis**, scientific research network studying global consciousness ... Long Term Network

**Variance**

**Analysis**Sunspot Cycles global-mind.org copyright © Roger Nelson, 1998-2015, all rights reserved ... No rigorous

**analysis**has been done at this time (2014) but the similar trends in these figures suggest it would be of value. If ... This is a very rough graphical comparison of the trends in GCP's long term network

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noosphere.princeton.edu/longterm.sunspot.html

#### Theory and Application of Regression and **Analysis** **of** **Variance** II | Department of Statistics

A General Framework for Association **Analysis**of Microbial Communities on a Taxonomic Tree. ...

stat.wisc.edu/course/theory-and-application-regression-and-analysis-variance-ii

#### Example 46.5 Three-Way **Analysis** **of** **Variance** with Contrasts :: SAS/STAT(R) 14.1 User's Guide

**Analysis**

**of**

**Variance**with ContrastsMultivariate

**Analysis**of VarianceRepeated Measures

**Analysis**of VarianceMixed Model

**Analysis**... ExpressionsComparing GroupsMultivariate

**Analysis**of VarianceRepeated Measures

**Analysis**of VarianceRandom-Effects

**Analysis**... This example uses data from Cochran and Cox (1957, p. 176) to illustrate the

**analysis**of a three-way factorial design with ... with the RANDOM StatementAnalyzing a Doubly Multivariate Repeated Measures DesignTesting for Equal Group VariancesAnalysis of a ...

support.sas.com/documentation/cdl/en/statug/68162/HTML/default/statug_glm_examples05.htm

#### Mean-**Variance** **Analysis** for the Newsvendor Problem - IEEE Journals & Magazine

The newsvendor problem is a fundamental building block for inventory management with a stochastic demand. The classical newsvendor problem focuses on a solieeexplore.ieee.org/document/4604824/?reload=true

#### Veeder-Root Debuts Customer-Centric Solutions Approach; Announces Insite360 Advanced **Variance** **Analysis** Service

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**Analysis**: This new managed service monitors fuel sites to continuously reconcile inventories and ... Insite360 Advanced

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#### Mix And Yield **Variance** **Analysis** | Accounting, Financial, Tax

Mix and Yield **Variance**

**Analysis**. Lie Dharma Putra, Jul 6, 2009

**Variance**

**analysis**is a most used tool by accountants to review ... Posts tagged Mix and Yield

**Variance**

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accounting-financial-tax.com/tag/mix-and-yield-variance-analysis/

#### If an **analysis** **of** **variance** produces SSbetween treatments = 20 and MSbetween treatments = 10, then the ANOVA is comparing two...

If an **analysis**

**of**

**variance**produces SSbetween treatments = 20 and MSbetween treatments = 10, then the ANOVA is comparing two ... Adding-In the Excel

**Analysis**Toolpak Multiple Linear Regression

**Analysis**in Microsoft Excel Part I Creating A Scatter Plot ... Multiple Linear Regression

**Analysis**in Microsoft Excel Part II Related Tutors. Biquadratic Reciprocity Theorem Tutors Computer ...

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#### Factorial **Analysis** and Homogeneity **of** **Variance**

Factor A has 2 levels (with values 1 and 2). Factor B has 3 levels (with values 1, 2 and 3). The estimate of the (co)**variance**, ... We then have 4 SAS PROC MIXED

**analyses**, fitting the same fixed effects components (a, b and a*b), but with different ... the residual error

**variance**is 7.889. The SAS System The MIXED Procedure Class Level Information Class Levels Values A 2 1 2 B ... different

**variance**for each level of factor b */ run; quit; proc mixed data=factor01; classes a b; model wt = a b a*b; repeated ...

animsci.agrenv.mcgill.ca/StatisticalMethodsII/factor/factor4.htm

#### Two-way **Analysis** **of** **Variance**, Mixed Model

So; what do we get with our **analysis**using proc mixed? We fidn that the residual

**variance**is 6.2733, and the

**variance**amongst ... Two-way

**Analysis**

**of**

**Variance**, Mixed Model. often called a Randomised Complete Block Model (RCB). Steel, Torrie and Dickey, ... A better method of

**analysis**is the

**analysis**using proc mixed; we make use of ALL the observations, including the unpaired ... What we find is that PROC GLM ignores the

**variance**due to month when calculating the sampling

**variances**(and standard errors) ...

animsci.agrenv.mcgill.ca/StatisticalMethodsII/rcb2/index.html

#### Strategies for handling tighter margins in agriculture: Good records, **variance** **analysis**, sensitivity **analysis** | Corn and...

Another tool is **variance**

**analysis**. Develop cash budgets and then compare actual results to projected results. This strategy ... Finally, conducting sensitivity

**analysis**, i.e. different cost, price, and production scenarios, with a marketing and risk ...

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#### Grid **Variance** **Analysis** | Real Estate Investing Software

Grid **Variance**

**Analysis**. Grid

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#### Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach

are then used as the independent variables in all our**analyses**. Lastly, we restrict our

**analysis**to those words and phrases ... and we apply the Anscombe transformation [71] to the normalized values for

**variance**stabilization (. ): ... presented a sophisticated open-vocabulary language

**analysis**of demographics [41]. Their method views language

**analysis**as a ... We use differential language

**analysis**(DLA), our particular method of open-vocabulary

**analysis**, to find language features ...

pubmedcentralcanada.ca/pmcc/articles/PMC3783449/?lang=en-ca

**Genetic variation**: right|thumb

**Plant breeding**

**Inverse probability weighting**: Inverse probability weighting is a statistical technique for calculating statistics standardized to a population different from that in which the data was collected. Study designs with a disparate sampling population and population of target inference (target population) are common in application.

**Generalizability theory**: Generalizability theory, or G Theory, is a statistical framework for conceptualizing, investigating, and designing reliable observations. It is used to determine the reliability (i.

**Regression dilution**: Regression dilution, also known as regression attenuation, is the biasing of the regression slope towards zero (or the underestimation of its absolute value), caused by errors in the independent variable.

**Phenotype microarray**: The phenotype microarray approach is a technology for high-throughput phenotyping of cells.

**Evolution in Variable Environment**

**Heritability**: Heritability is a statistic used in breeding and genetics works that estimates how much variation in a phenotypic trait in a population is due to genetic variation among individuals in that population. It is calculated with the following equation (for broad-sense heritability): H^2 = VG/VP.

**Interval boundary element method**: Interval boundary element method is classical boundary element method with the interval parameters.

**Monochorionic twins**

**Decoding methods**: In coding theory, decoding is the process of translating received messages into codewords of a given code. There have been many common methods of mapping messages to codewords.

**Clonal Selection Algorithm**: In artificial immune systems, Clonal selection algorithms are a class of algorithms inspired by the clonal selection theory of acquired immunity that explains how B and T lymphocytes improve their response to antigens over time called affinity maturation. These algorithms focus on the Darwinian attributes of the theory where selection is inspired by the affinity of antigen-antibody interactions, reproduction is inspired by cell division, and variation is inspired by somatic hypermutation.

**Selection (relational algebra)**: In relational algebra, a selection (sometimes called a restriction to avoid confusion with SQL's use of SELECT) is a unary operation written as

**Panmixia**: Panmixia (or panmixis) means random mating.King C and Stanfield W.

**Uniparental inheritance**: Uniparental inheritance is a non-mendelian form of inheritance that consists of the transmission of genotypes from one parental type to all progeny. That is, all the genes in offspring will originate from only the mother or only the father.

**Inbreeding depression**: Inbreeding depression is the reduced biological fitness in a given population as a result of inbreeding, or breeding of related individuals. Population biological fitness refers to its ability to survive and reproduce itself.

**Temporal analysis of products**: Temporal Analysis of Products (TAP), (TAP-2), (TAP-3) is an experimental technique for studying

**Closed-ended question**: A closed-ended question is a question format that limits respondents with a list of answer choices from which they must choose to answer the question.Dillman D.

**RV coefficient**: In statistics, the RV coefficient

**Hyperparameter**: In Bayesian statistics, a hyperparameter is a parameter of a prior distribution; the term is used to distinguish them from parameters of the model for the underlying system under analysis.

**Monte Carlo methods for option pricing**: In mathematical finance, a Monte Carlo option model uses Monte Carlo methods Although the term 'Monte Carlo method' was coined by Stanislaw Ulam in the 1940s, some trace such methods to the 18th century French naturalist Buffon, and a question he asked about the results of dropping a needle randomly on a striped floor or table. See Buffon's needle.

**Regularized canonical correlation analysis**: Regularized canonical correlation analysis is a way of using ridge regression to solve the singularity problem in the cross-covariance matrices of canonical correlation analysis. By converting \operatorname{cov}(X, X) and \operatorname{cov}(Y, Y) into \operatorname{cov}(X, X) + \lambda I_X and \operatorname{cov}(Y, Y) + \lambda I_Y, it ensures that the above matrices will have reliable inverses.

**Matrix model**: == Mathematics and physics ==

**Twin reversed arterial perfusion**

**Genetic linkage**: Genetic linkage is the tendency of alleles that are located close together on a chromosome to be inherited together during the meiosis phase of sexual reproduction. Genes whose loci are nearer to each other are less likely to be separated onto different chromatids during chromosomal crossover, and are therefore said to be genetically linked.

**Infinite alleles model**: The infinite alleles model is a mathematical model for calculating genetic mutations. The Japanese geneticist Motoo Kimura and American geneticist James F.

**Chromosome regions**

**David Budescu**: David Budescu is a psychologist and academic. He is the Anne Anastasi Professor of Psychometrics and Quantitative Psychology at Fordham University.

**The Otwell Twins**: The Otwell Twins are an American singing duo made up of identical twin brothers Roger and David, born August 2, 1956, in Tulia, Texas. They are best known as members of The Lawrence Welk Show from 1977-1982.

**Age adjustment**: In epidemiology and demography, age adjustment, also called age standardization, is a technique used to allow populations to be compared when the age profiles of the populations are quite different.

**Beef cattle**: Beef cattle are cattle raised for meat production (as distinguished from dairy cattle, used for milk production). The meat of adult cattle is known as beef.

**WGAViewer**: WGAViewer is a bioinformatics software tool which is designed to visualize, annotate, and help interpret the results generated from a genome wide association study (GWAS). Alongside the P values of association, WGAViewer allows a researcher to visualize and consider other supporting evidence, such as the genomic context of the SNP, linkage disequilibrium (LD) with ungenotyped SNPs, gene expression database, and the evidence from other GWAS projects, when determining the potential importance of an individual SNP.

**A-scan ultrasound biometry**: A-scan ultrasound biometry, commonly referred to as an A-scan, is routine type of diagnostic test used in ophthalmology. The A-scan provides data on the length of the eye, which is a major determinant in common sight disorders.

**Image fusion**: In computer vision, Multisensor Image fusion is the process of combining relevant information from two or more images into a single image.Haghighat, M.

**Von Neumann regular ring**: In mathematics, a von Neumann regular ring is a ring R such that for every a in R there exists an x in R such that . To avoid the possible confusion with the regular rings and regular local rings of commutative algebra (which are unrelated notions), von Neumann regular rings are also called absolutely flat rings, because these rings are characterized by the fact that every left module is flat.

**Assay sensitivity**: Assay sensitivity is a property of a clinical trial defined as the ability of a trial to distinguish an effective treatment from a less effective or ineffective intervention. Without assay sensitivity, a trial is not internally valid and is not capable of comparing the efficacy of two interventions.

**Population stratification**: Population stratification is the presence of a systematic difference in allele frequencies between subpopulations in a population possibly due to different ancestry, especially in the context of association studies. Population stratification is also referred to as population structure, in this context.

**Bill Parry (mathematician)**

**The Unscrambler**: The Unscrambler® X is a commercial software product for multivariate data analysis, used for calibration of multivariate data which is often in the application of analytical data such as near infrared spectroscopy and Raman spectroscopy, and development of predictive models for use in real-time spectroscopic analysis of materials. The software was originally developed in 1986 by Harald MartensHarald Martens, Terje Karstang, Tormod Næs (1987) Improved selectivity in spectroscopy by multivariate calibration Journal of Chemometrics 1(4):201-219 and later by CAMO Software.

**Negative probability**: The probability of the outcome of an experiment is never negative, but quasiprobability distributions can be defined that allow a negative probability for some events. These distributions may apply to unobservable events or conditional probabilities.

**Information bias (epidemiology)**: Information bias}}

**Repeatable Battery for the Assessment of Neuropsychological Status**: The Repeatable Battery for the Assessment of Neuropsychological Status is a neuropsychological assessment initially introduced in 1998. It consists of ten subtests which give five scores, one for each of the five domains tested (immediate memory, visuospatial/constructional, language, attention, delayed memory).

**Hyperintensity**

**Microsatellite**: A microsatellite is a tract of repetitive DNA in which certain DNA motifs (ranging in length from 2–5 base pairs) are repeated, typically 5-50 times. Microsatellites occur at thousands of locations in the human genome and they are notable for their high mutation rate and high diversity in the population.

**Mechanochemistry**: Mechanochemistry or mechanical chemistry is the coupling of mechanical and chemical phenomena on a molecular scale and includes mechanical breakage, chemical behaviour of mechanically stressed solids (e.g.

**QRISK**: QRISK2 (the most recent version of QRISK) is a prediction algorithm for cardiovascular disease (CVD) that uses traditional risk factors (age, systolic blood pressure, smoking status and ratio of total serum cholesterol to high-density lipoprotein cholesterol) together with body mass index, ethnicity, measures of deprivation, family history, chronic kidney disease, rheumatoid arthritis, atrial fibrillation, diabetes mellitus, and antihypertensive treatment.

**Genetic heterogeneity**: Genetic heterogeneity is a phenomenon in which a single phenotype or genetic disorder may be caused by any one of a multiple number of alleles or non-allele (locus) mutations.Turnpenny and Ellard, Emery's Elements of Medical Genetics, 13th Edition.

**Doob decomposition theorem**: In the theory of stochastic processes in discrete time, a part of the mathematical theory of probability, the Doob decomposition theorem gives a unique decomposition of every adapted and integrable stochastic process as the sum of a martingale and a predictable process (or "drift") starting at zero. The theorem was proved by and is named for Joseph L.

**Reproductive toxicity**: Reproductive toxicity is a hazard associated with some chemical substances, that they will interfere in some way with normal reproduction; such substances are called reprotoxic. It includes adverse effects on sexual function and fertility in adult males and females, as well as developmental toxicity in the offspring.

**Interbreeding of dingoes with other domestic dogs**: The interbreeding of dingoes with other domestic dogs is an ongoing process affecting the population of free ranging domestic dogs in Australia. The current population of free ranging domestic dogs in Australia is now probably higher than in the past.

**Pleiotropy (drugs)**: In pharmacology, pleiotropy refers to a drug's actions, usually unanticipated, other than those for which the agent was specifically developed. It may include adverse effects which are detrimental ones, but is often used to denote additional beneficial effects.

**Gene signature**: A gene signature is a group of genes in a cell whose combined expression patternItadani H, Mizuarai S, Kotani H. Can systems biology understand pathway activation?

**Pedigree chart**: A pedigree chart is a diagram that shows the occurrence and appearance or phenotypes of a particular gene or organism and its ancestors from one generation to the next,pedigree chart Genealogy Glossary - About.com, a part of The New York Times Company.

**Threshold host density**: Threshold host density (NT), in the context of wildlife disease ecology, refers to the concentration of a population of a particular organism as it relates to disease. Specifically, the threshold host density (NT) of a species refers to the minimum concentration of individuals necessary to sustain a given disease within a population.

**Deep litter**: Deep litter is an animal housing system, based on the repeated spreading of straw or sawdust material in indoor booths. An initial layer of litter is spread for the animals to use for bedding material and to defecate in, and as the litter is soiled, new layers of litter are continuously added by the farmer.

**Brittleness**

**Cellular microarray**: A cellular microarray is a laboratory tool that allows for the multiplex interrogation of living cells on the surface of a solid support. The support, sometimes called a "chip", is spotted with varying materials, such as antibodies, proteins, or lipids, which can interact with the cells, leading to their capture on specific spots.

**Time-trade-off**: Time-Trade-Off (TTO) is a tool used in health economics to help determine the quality of life of a patient or group. The individual will be presented with a set of directions such as:

**STO-nG basis sets**: STO-nG basis sets are minimal basis sets, where n primitive Gaussian orbitals are fitted to a single Slater-type orbital (STO). n originally took the values 2 - 6.

**Factorial moment**: In probability theory, the factorial moment is a mathematical quantity defined as the expectation or average of the falling factorial of a random variable. Factorial moments are useful for studying non-negative integer-valued random variables.

**Blueshift**: A blueshift is any decrease in wavelength, with a corresponding increase in frequency, of an electromagnetic wave; the opposite effect is referred to as redshift. In visible light, this shifts the color from the red end of the spectrum to the blue end.

**Gene polymorphism**

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**Comparative total mortality in 25 years in Italian and Greek middle aged rural men.**

STUDY OBJECTIVE: Mortality over 25 years has been low in the Italian and very low in the Greek cohorts of the Seven Countries Study; factors responsible for this particularity were studied in detail. PARTICIPANTS AND SETTINGS: 1712 Italian and 1215 Greek men, aged 40-59 years, cohorts of the Seven Countries Study, representing over 95% of the populations in designated rural areas. DESIGN: Entry (1960-61) data included age, systolic blood pressure (SBP), smoking habits, total serum cholesterol, body mass index (BMI), arm circumference, vital capacity (VC), and forced expiratory volume in 3/4 seconds (FEV); the same data were obtained 10 years later. Multivariate Cox analysis was performed with all causes death in 25 years as end point. MAIN RESULTS: Italian men had higher entry levels of SBP, arm circumference, BMI, and VC; Greek men had higher cholesterol levels, smoking habits, and FEV. Mortality of Italian men was higher throughout; at 25 years cumulative mortality was 48.3% and 35.3% respectively. Coronary heart disease and stroke mortality increased fivefold in Italy and 10-fold in Greece between years 10 and 25. The only risk factor with a significantly higher contribution to mortality in Italian men was cholesterol. However, differences in entry SBP (higher in Italy) and FEV (higher in Greece) accounted for, according to the Lee method, 75% of the differential mortality between the two populations. At 10 years increases in SBP, cholesterol, BMI, and decreases in smoking habits, VC, FEV, and arm circumference had occurred (deltas). SBP increased more and FEV and VC decreased more in Italy than in Greece. Deltas, fed stepwise in the original model for the prediction of 10 to 25 years mortality, were significant for SBP, smoking, arm circumference, and VC in Greece, and for SBP and VC in Italy. CONCLUSION: Higher mortality in Italian men is related to stronger positive effects of entry SBP and weaker negative (protective) effects of FEV; in addition 10 year increases in SBP are higher and 10 year decreases in FEV are larger in Italy. Unaccounted factors, however, related to, for example, differences in the diet, may also have contributed to the differential mortality of these two Mediterranean populations. (+info)

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**Activity-dependent metaplasticity of inhibitory and excitatory synaptic transmission in the lamprey spinal cord locomotor network.**

Paired intracellular recordings have been used to examine the activity-dependent plasticity and neuromodulator-induced metaplasticity of synaptic inputs from identified inhibitory and excitatory interneurons in the lamprey spinal cord. Trains of spikes at 5-20 Hz were used to mimic the frequency of spiking that occurs in network interneurons during NMDA or brainstem-evoked locomotor activity. Inputs from inhibitory and excitatory interneurons exhibited similar activity-dependent changes, with synaptic depression developing during the spike train. The level of depression reached was greater with lower stimulation frequencies. Significant activity-dependent depression of inputs from excitatory interneurons and inhibitory crossed caudal interneurons, which are central elements in the patterning of network activity, usually developed between the fifth and tenth spikes in the train. Because these interneurons typically fire bursts of up to five spikes during locomotor activity, this activity-dependent plasticity will presumably not contribute to the patterning of network activity. However, in the presence of the neuromodulators substance P and 5-HT, significant activity-dependent metaplasticity of these inputs developed over the first five spikes in the train. Substance P induced significant activity-dependent depression of inhibitory but potentiation of excitatory interneuron inputs, whereas 5-HT induced significant activity-dependent potentiation of both inhibitory and excitatory interneuron inputs. Because these metaplastic effects are consistent with the substance P and 5-HT-induced modulation of the network output, activity-dependent metaplasticity could be a potential mechanism underlying the coordination and modulation of rhythmic network activity. (+info)

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**The significance of non-significance.**

We discuss the implications of empirical results that are statistically non-significant. Figures illustrate the interrelations among effect size, sample sizes and their dispersion, and the power of the experiment. All calculations (detailed in Appendix) are based on actual noncentral t-distributions, with no simplifying mathematical or statistical assumptions, and the contribution of each tail is determined separately. We emphasize the importance of reporting, wherever possible, the a priori power of a study so that the reader can see what the chances were of rejecting a null hypothesis that was false. As a practical alternative, we propose that non-significant inference be qualified by an estimate of the sample size that would be required in a subsequent experiment in order to attain an acceptable level of power under the assumption that the observed effect size in the sample is the same as the true effect size in the population; appropriate plots are provided for a power of 0.8. We also point out that successive outcomes of independent experiments each of which may not be statistically significant on its own, can be easily combined to give an overall p value that often turns out to be significant. And finally, in the event that the p value is high and the power sufficient, a non-significant result may stand and be published as such. (+info)

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**Capture-recapture models including covariate effects.**

Capture-recapture methods are used to estimate the incidence of a disease, using a multiple-source registry. Usually, log-linear methods are used to estimate population size, assuming that not all sources of notification are dependent. Where there are categorical covariates, a stratified analysis can be performed. The multinomial logit model has occasionally been used. In this paper, the authors compare log-linear and logit models with and without covariates, and use simulated data to compare estimates from different models. The crude estimate of population size is biased when the sources are not independent. Analyses adjusting for covariates produce less biased estimates. In the absence of covariates, or where all covariates are categorical, the log-linear model and the logit model are equivalent. The log-linear model cannot include continuous variables. To minimize potential bias in estimating incidence, covariates should be included in the design and analysis of multiple-source disease registries. (+info)

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**Effect of coronary occlusion on left ventricular function with and without collateral supply during beating heart coronary artery surgery.**

OBJECTIVE: To study the effects of coronary occlusion and collateral supply on left ventricular (LV) function during beating heart coronary artery surgery. DESIGN: Prospective intraoperative study, performed at baseline, during wall stabilisation, coronary artery occlusion, and 2 and 10 minutes after reperfusion. Transoesophageal M mode echocardiograms, simultaneous high fidelity LV pressure, and thermodilution cardiac output were measured. LV anterior wall thickening, thinning velocities, thickening fraction, regional work, and power production were derived. Asynchrony during the isovolumic periods was quantified as cycle efficiency. SETTING: Tertiary referral cardiac centre. PATIENTS: 14 patients with stable angina, mean (SD) age 62 (7) years, undergoing left anterior descending artery grafting using the "Octopus" device. RESULTS: Collaterals were absent in nine patients and present in five. Epicardial stabilisation did not affect LV function. Results are expressed as mean (SD). Coronary occlusion (15.6 (2) minutes) depressed anterior wall thickening (1.4 (0.6) v 2.6 (0.6) cm/s) and thinning velocities (1.4 (0.5) v 3.0 (0.6) cm/s), regional work (2.2 (0.8) v 4.6 (0.6) mJ/cm2), and power (21 (4) v 33 (5) mW/cm2) in patients without collaterals (p < 0.05 for all), but only wall thinning (3.5 (0.5) v 4.8 (0.5) cm/s, p < 0.05) in patients with collaterals. All returned to baseline within 10 minutes of reperfusion. Cycle efficiency and regional work were impaired at baseline and fell during occlusion, regardless of collaterals. Within 10 minutes of reperfusion both had increased above baseline. CONCLUSIONS: Coronary occlusion for up to 15 minutes during beating heart coronary artery surgery depressed standard measurements of systolic and diastolic anterior wall function in patients without collaterals, but only those of diastolic function in patients with collaterals. Regional synchrony decreased in both groups. All disturbances regressed within 10 minutes of reperfusion. (+info)

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**Acquisition of nicotine discrimination and discriminative stimulus effects of nicotine in rats chronically exposed to caffeine.**

Caffeine and nicotine are the main psychoactive ingredients of coffee and tobacco, with a high frequency of concurrent use in humans. This study examined the effects of chronic caffeine exposure on 1) rates of acquisition of a nicotine discrimination (0.1 or 0.4 mg/kg, s.c., training doses) and 2) the pharmacological characteristics of the established nicotine discrimination in male Sprague-Dawley rats. Once rats learned to lever-press reliably under a fixed ratio of 10 schedule for food pellets, they were randomly divided into two groups; 12 animals were maintained continuously on caffeine added to the drinking water (3 mg/ml) and another 12 control rats continued to drink tap water. In each group of water- and caffeine-drinking rats, there were six rats trained to discriminate 0.1 mg/kg of nicotine from saline and six rats trained to discriminate 0.4 mg/kg of nicotine from saline. Regardless of the training dose of nicotine, both water- and caffeine-drinking groups required a comparable number of training sessions to attain reliable stimulus control, although there was a trend for a slower acquisition in the caffeine-drinking group trained with 0.1 mg/kg of nicotine. Tests for generalization to different doses of nicotine revealed no significant differences in potency of nicotine between water- and caffeine-drinking groups. The nicotinic-receptor antagonist mecamylamine blocked the discriminative effects of 0.1 and 0.4 mg/kg nicotine with comparable potency and efficacy in water- and caffeine-drinking groups. There was a dose-related generalization to both the 0.1 and 0.4 mg/kg nicotine cue (maximum average of 51-83%) in water-drinking rats after i.p. treatment with d-amphetamine, cocaine, the selective dopamine uptake inhibitor GBR-12909, apomorphine, and the selective dopamine D1 receptor agonist SKF-82958, but not in caffeine-drinking rats (0-22%). There was no generalization to the nicotine cues after i.p. treatment with caffeine or the selective D2 (NPA) and D3 (PD 128,907) dopamine-receptor agonists in water- and caffeine-drinking rats. The dopamine-release inhibitor CGS 10746B reduced the discriminative effects of 0.4 mg/kg nicotine in water-drinking rats, but not in caffeine-drinking rats. There was no evidence of development of tolerance or sensitization to nicotine's effects throughout the study. In conclusion, chronic caffeine exposure (average, 135 mg/kg/day) did not affect the rate of acquisition of the nicotine discrimination, but it did reduce the dopaminergic component of the nicotine-discriminative cue. The reduction of the dopaminergic component of the nicotine cue was permanent, as this effect was still evident after the caffeine solution was replaced with water in caffeine-drinking rats. That nicotine could reliably serve as a discriminative stimulus in the absence of the dopaminergic component of its discriminative cue may differentiate nicotine from "classical dopaminergic" drugs of abuse such as cocaine and amphetamine. (+info)

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**Hierarchical cluster analysis applied to workers' exposures in fiberglass insulation manufacturing.**

The objectives of this study were to explore the application of cluster analysis to the characterization of multiple exposures in industrial hygiene practice and to compare exposure groupings based on the result from cluster analysis with that based on non-measurement-based approaches commonly used in epidemiology. Cluster analysis was performed for 37 workers simultaneously exposed to three agents (endotoxin, phenolic compounds and formaldehyde) in fiberglass insulation manufacturing. Different clustering algorithms, including complete-linkage (or farthest-neighbor), single-linkage (or nearest-neighbor), group-average and model-based clustering approaches, were used to construct the tree structures from which clusters can be formed. Differences were observed between the exposure clusters constructed by these different clustering algorithms. When contrasting the exposure classification based on tree structures with that based on non-measurement-based information, the results indicate that the exposure clusters identified from the tree structures had little in common with the classification results from either the traditional exposure zone or the work group classification approach. In terms of the defining homogeneous exposure groups or from the standpoint of health risk, some toxicological normalization in the components of the exposure vector appears to be required in order to form meaningful exposure groupings from cluster analysis. Finally, it remains important to see if the lack of correspondence between exposure groups based on epidemiological classification and measurement data is a peculiarity of the data or a more general problem in multivariate exposure analysis. (+info)

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**Racial differences in the outcome of left ventricular dysfunction.**

BACKGROUND: Population-based studies have found that black patients with congestive heart failure have a higher mortality rate than whites with the same condition. This finding has been attributed to differences in the severity, causes, and management of heart failure, the prevalence of coexisting conditions, and socioeconomic factors. Although these factors probably account for some of the higher mortality due to congestive heart failure among blacks, we hypothesized that racial differences in the natural history of left ventricular dysfunction might also have a role. METHODS: Using data from the Studies of Left Ventricular Dysfunction (SOLVD) prevention and treatment trials, in which all patients received standardized therapy and follow-up, we conducted a retrospective analysis of the outcomes of asymptomatic and symptomatic left ventricular systolic dysfunction among black and white participants. The mean (+/-SD) follow-up was 34.2+/-14.0 months in the prevention trial and 32.3+/-14.8 months in the treatment trial among the black and white participants. RESULTS: The overall mortality rates in the prevention trial were 8.1 per 100 person-years for blacks and 5.1 per 100 person years for whites. In the treatment trial, the rates were 16.7 per 100 person-years and 13.4 per 100 person-years, respectively. After adjustment for age, coexisting conditions, severity and causes of heart failure, and use of medications, blacks had a higher risk of death from all causes in both the SOLVD prevention trial (relative risk, 1.36; 95 percent confidence interval, 1.06 to 1.74; P=0.02) and the treatment trial (relative risk, 1.25; 95 percent confidence interval, 1.04 to 1.50; P=0.02). In both trials blacks were also at higher risk for death due to pump failure and for the combined end point of death from any cause or hospitalization for heart failure, our two predefined indicators of the progression of left ventricular systolic dysfunction. CONCLUSIONS: Blacks with mild-to-moderate left ventricular systolic dysfunction appear to be at higher risk for progression of heart failure and death from any cause than similarly treated whites. These results suggest that there may be racial differences in the outcome of asymptomatic and symptomatic left ventricular systolic dysfunction. (+info)

#### ANOVA

- Analysis of Two-way ANOVA is demonstrated in the slides that follow. (slideserve.com)

#### multivariate

- This paper develops a multi-way analysis of variance for non-Gaussian multivariate distributions and provides a practical simulation algorithm to estimate the corresponding components of variance. (repec.org)
- Bray's monograph considers the multivariate form of analysis of variance (MANOVA). (boomerangbooks.com.au)
- Buy Multivariate Analysis of Variance by James H. Bray from Australia's Online Independent Bookstore, Boomerang Books. (boomerangbooks.com.au)
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#### illustrate the analysis

- This example uses data from Cochran and Cox ( 1957 , p. 176) to illustrate the analysis of a three-way factorial design with replication, including the use of the CONTRAST statement with interactions, the OUTSTAT= data set, and the SLICE= option in the LSMEANS statement. (sas.com)

#### experiment

- An analysis of the variation between all of the variables used in an experiment. (investopedia.com)

#### Journals

- Analysis of Variance for Bayesian Inference ," Econometric Reviews , Taylor & Francis Journals, vol. 33(1-4), pages 270-288, June. (repec.org)

#### Book

- The primary emphasis of the book is on methods for interpreting MANOVA statistical analyses. (boomerangbooks.com.au)

#### Application

- Depending on the application at hand, further decomposition of extrinsic or intrinsic variance (or both) may be useful. (repec.org)

#### Statistics

- Bayesian Analysis in Econometrics and Statistics ," Books , Edward Elgar Publishing, number 825. (repec.org)

#### determine

- This type of analysis attempts to break down the various underlying factors that determine the price of securities as well as market behavior. (investopedia.com)
- A t-test and f-test is used to analyze the results of an analysis of variance test to determine which variables are of statistical significance. (investopedia.com)
- A method is described for employing an analysis of variance to determine the precision of a control service to commercial laundries. (astm.org)

#### provide

- This analysis can provide valuable insight into the behavior of a security or market index under various conditions. (investopedia.com)
- Insite360 Advanced Variance Analysis: This new managed service monitors fuel sites to continuously reconcile inventories and deliveries, identify instances and sources of fuel variance, and provide actionable recommendations to reduce loss. (prweb.com)

#### Series

- Most statistical analyses require a series of steps. (scribd.com)

#### chapter

- following the story of a fictional online bookstore through a common workflow By selecting a specific chapter to familiarize yourself with a particular area of Minitab ■ Meet Minitab introduces dialog boxes and windows when you need them to perform a step in the analysis. (scribd.com)

#### missing values

- Before we go ahead and impute data for the missing values, we will look at an analysis that is based on the file that contains missing data. (uvm.edu)

#### file

- The SAS commands would be the same as those that we just used, except that we would first read in the file with missing data and use that for the analysis. (uvm.edu)
- I am doing analysis on survey data in SPSS file. (brainmass.com)