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.Logistic Models: Statistical models which describe the relationship between a qualitative dependent variable (that is, one which can take only certain discrete values, such as the presence or absence of a disease) and an independent variable. A common application is in epidemiology for estimating an individual's risk (probability of a disease) as a function of a given risk factor.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.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.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.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.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.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.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.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.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.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.Odds Ratio: The ratio of two odds. The exposure-odds ratio for case control data is the ratio of the odds in favor of exposure among cases to the odds in favor of exposure among noncases. The disease-odds ratio for a cohort or cross section is the ratio of the odds in favor of disease among the exposed to the odds in favor of disease among the unexposed. The prevalence-odds ratio refers to an odds ratio derived cross-sectionally from studies of prevalent cases.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.Time Factors: Elements of limited time intervals, contributing to particular results or situations.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.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.Prognosis: A prediction of the probable outcome of a disease based on a individual's condition and the usual course of the disease as seen in similar situations.Prevalence: The total number of cases of a given disease in a specified population at a designated time. It is differentiated from INCIDENCE, which refers to the number of new cases in the population at a given time.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.Socioeconomic Factors: Social and economic factors that characterize the individual or group within the social structure.Risk Assessment: The qualitative or quantitative estimation of the likelihood of adverse effects that may result from exposure to specified health hazards or from the absence of beneficial influences. (Last, Dictionary of Epidemiology, 1988)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.Neoplasm Regression, Spontaneous: Disappearance of a neoplasm or neoplastic state without the intervention of therapy.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)Proportional Hazards Models: Statistical models used in survival analysis that assert that the effect of the study factors on the hazard rate in the study population is multiplicative and does not change over time.United StatesJapanBiological 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.Longitudinal Studies: Studies in which variables relating to an individual or group of individuals are assessed over a period of time.Smoking: Inhaling and exhaling the smoke of burning TOBACCO.Pregnancy: The status during which female mammals carry their developing young (EMBRYOS or FETUSES) in utero before birth, beginning from FERTILIZATION to BIRTH.Incidence: The number of new cases of a given disease during a given period in a specified population. It also is used for the rate at which new events occur in a defined population. It is differentiated from PREVALENCE, which refers to all cases, new or old, in the population at a given time.Infant, Newborn: An infant during the first month after birth.China: A country spanning from central Asia to the Pacific Ocean.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.ROC Curve: A graphic means for assessing the ability of a screening test to discriminate between healthy and diseased persons; may also be used in other studies, e.g., distinguishing stimuli responses as to a faint stimuli or nonstimuli.Chi-Square Distribution: A distribution in which a variable is distributed like the sum of the squares of any given independent random variable, each of which has a normal distribution with mean of zero and variance of one. The chi-square test is a statistical test based on comparison of a test statistic to a chi-square distribution. The oldest of these tests are used to detect whether two or more population distributions differ from one another.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.Comorbidity: The presence of co-existing or additional diseases with reference to an initial diagnosis or with reference to the index condition that is the subject of study. Comorbidity may affect the ability of affected individuals to function and also their survival; it may be used as a prognostic indicator for length of hospital stay, cost factors, and outcome or survival.Confidence Intervals: A range of values for a variable of interest, e.g., a rate, constructed so that this range has a specified probability of including the true value of the variable.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)Genotype: The genetic constitution of the individual, comprising the ALLELES present at each GENETIC LOCUS.Survival Analysis: A class of statistical procedures for estimating the survival function (function of time, starting with a population 100% well at a given time and providing the percentage of the population still well at later times). The survival analysis is then used for making inferences about the effects of treatments, prognostic factors, exposures, and other covariates on the function.Educational Status: Educational attainment or level of education of individuals.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).Netherlands: Country located in EUROPE. It is bordered by the NORTH SEA, BELGIUM, and GERMANY. Constituent areas are Aruba, Curacao, Sint Maarten, formerly included in the NETHERLANDS ANTILLES.Health Status: The level of health of the individual, group, or population as subjectively assessed by the individual or by more objective measures.European Continental Ancestry Group: Individuals whose ancestral origins are in the continent of Europe.Health Surveys: A systematic collection of factual data pertaining to health and disease in a human population within a given geographic area.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.Epidemiologic Methods: Research techniques that focus on study designs and data gathering methods in human and animal populations.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.Disease Progression: The worsening of a disease over time. This concept is most often used for chronic and incurable diseases where the stage of the disease is an important determinant of therapy and prognosis.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.Survival Rate: The proportion of survivors in a group, e.g., of patients, studied and followed over a period, or the proportion of persons in a specified group alive at the beginning of a time interval who survive to the end of the interval. It is often studied using life table methods.Blood Pressure: PRESSURE of the BLOOD on the ARTERIES and other BLOOD VESSELS.Asian Continental Ancestry Group: Individuals whose ancestral origins are in the southeastern and eastern areas of the Asian continent.Depression: Depressive states usually of moderate intensity in contrast with major depression present in neurotic and psychotic disorders.Hypertension: Persistently high systemic arterial BLOOD PRESSURE. Based on multiple readings (BLOOD PRESSURE DETERMINATION), hypertension is currently defined as when SYSTOLIC PRESSURE is consistently greater than 140 mm Hg or when DIASTOLIC PRESSURE is consistently 90 mm Hg or more.Risk: The probability that an event will occur. It encompasses a variety of measures of the probability of a generally unfavorable outcome.Sex Distribution: The number of males and females in a given population. The distribution may refer to how many men or women or what proportion of either in the group. The population is usually patients with a specific disease but the concept is not restricted to humans and is not restricted to medicine.Kaplan-Meier Estimate: A nonparametric method of compiling LIFE TABLES or survival tables. It combines calculated probabilities of survival and estimates to allow for observations occurring beyond a measurement threshold, which are assumed to occur randomly. Time intervals are defined as ending each time an event occurs and are therefore unequal. (From Last, A Dictionary of Epidemiology, 1995)Age Distribution: The frequency of different ages or age groups in a given population. The distribution may refer to either how many or what proportion of the group. The population is usually patients with a specific disease but the concept is not restricted to humans and is not restricted to medicine.African Americans: Persons living in the United States having origins in any of the black groups of Africa.Demography: Statistical interpretation and description of a population with reference to distribution, composition, or structure.TaiwanAlcohol Drinking: Behaviors associated with the ingesting of alcoholic beverages, including social drinking.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.Anthropometry: The technique that deals with the measurement of the size, weight, and proportions of the human or other primate body.Urban Population: The inhabitants of a city or town, including metropolitan areas and suburban areas.Diabetes Mellitus, Type 2: A subclass of DIABETES MELLITUS that is not INSULIN-responsive or dependent (NIDDM). It is characterized initially by INSULIN RESISTANCE and HYPERINSULINEMIA; and eventually by GLUCOSE INTOLERANCE; HYPERGLYCEMIA; and overt diabetes. Type II diabetes mellitus is no longer considered a disease exclusively found in adults. Patients seldom develop KETOSIS but often exhibit OBESITY.Registries: The systems and processes involved in the establishment, support, management, and operation of registers, e.g., disease registers.NorwayBody Weight: The mass or quantity of heaviness of an individual. It is expressed by units of pounds or kilograms.Aging: The gradual irreversible changes in structure and function of an organism that occur as a result of the passage of time.Chronic Disease: Diseases which have one or more of the following characteristics: they are permanent, leave residual disability, are caused by nonreversible pathological alteration, require special training of the patient for rehabilitation, or may be expected to require a long period of supervision, observation, or care. (Dictionary of Health Services Management, 2d ed)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.Diet: Regular course of eating and drinking adopted by a person or animal.Social Class: A stratum of people with similar position and prestige; includes social stratification. Social class is measured by criteria such as education, occupation, and income.Cardiovascular Diseases: Pathological conditions involving the CARDIOVASCULAR SYSTEM including the HEART; the BLOOD VESSELS; or the PERICARDIUM.Genetic Predisposition to Disease: A latent susceptibility to disease at the genetic level, which may be activated under certain conditions.Polymorphism, Single Nucleotide: A single nucleotide variation in a genetic sequence that occurs at appreciable frequency in the population.Stress, Psychological: Stress wherein emotional factors predominate.Residence Characteristics: Elements of residence that characterize a population. They are applicable in determining need for and utilization of health services.Rural Population: The inhabitants of rural areas or of small towns classified as rural.Occupational Exposure: The exposure to potentially harmful chemical, physical, or biological agents that occurs as a result of one's occupation.C-Reactive Protein: A plasma protein that circulates in increased amounts during inflammation and after tissue damage.Gestational Age: The age of the conceptus, beginning from the time of FERTILIZATION. In clinical obstetrics, the gestational age is often estimated as the time from the last day of the last MENSTRUATION which is about 2 weeks before OVULATION and fertilization.Regression (Psychology): A return to earlier, especially to infantile, patterns of thought or behavior, or stage of functioning, e.g., feelings of helplessness and dependency in a patient with a serious physical illness. (From APA, Thesaurus of Psychological Index Terms, 1994).Stroke: A group of pathological conditions characterized by sudden, non-convulsive loss of neurological function due to BRAIN ISCHEMIA or INTRACRANIAL HEMORRHAGES. Stroke is classified by the type of tissue NECROSIS, such as the anatomic location, vasculature involved, etiology, age of the affected individual, and hemorrhagic vs. non-hemorrhagic nature. (From Adams et al., Principles of Neurology, 6th ed, pp777-810)Republic of Korea: The capital is Seoul. The country, established September 9, 1948, is located on the southern part of the Korean Peninsula. Its northern border is shared with the Democratic People's Republic of Korea.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)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.BrazilPolymorphism, 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.Data Interpretation, Statistical: Application of statistical procedures to analyze specific observed or assumed facts from a particular study.Breast Neoplasms: Tumors or cancer of the human BREAST.DenmarkMagnetic 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.GermanyCoronary Artery Disease: Pathological processes of CORONARY ARTERIES that may derive from a congenital abnormality, atherosclerotic, or non-atherosclerotic cause.Life Style: Typical way of life or manner of living characteristic of an individual or group. (From APA, Thesaurus of Psychological Index Terms, 8th ed)Hospitalization: The confinement of a patient in a hospital.SwedenRecurrence: The return of a sign, symptom, or disease after a remission.Probability: The study of chance processes or the relative frequency characterizing a chance process.Algorithms: A procedure consisting of a sequence of algebraic formulas and/or logical steps to calculate or determine a given task.Birth Weight: The mass or quantity of heaviness of an individual at BIRTH. It is expressed by units of pounds or kilograms.Health Knowledge, Attitudes, Practice: Knowledge, attitudes, and associated behaviors which pertain to health-related topics such as PATHOLOGIC PROCESSES or diseases, their prevention, and treatment. This term refers to non-health workers and health workers (HEALTH PERSONNEL).Hispanic Americans: Persons living in the United States of Mexican (MEXICAN AMERICANS), Puerto Rican, Cuban, Central or South American, or other Spanish culture or origin. The concept does not include Brazilian Americans or Portuguese Americans.Blood Glucose: Glucose in blood.HIV Infections: Includes the spectrum of human immunodeficiency virus infections that range from asymptomatic seropositivity, thru AIDS-related complex (ARC), to acquired immunodeficiency syndrome (AIDS).Postoperative Complications: Pathologic processes that affect patients after a surgical procedure. They may or may not be related to the disease for which the surgery was done, and they may or may not be direct results of the surgery.Kidney Failure, Chronic: The end-stage of CHRONIC RENAL INSUFFICIENCY. It is characterized by the severe irreversible kidney damage (as measured by the level of PROTEINURIA) and the reduction in GLOMERULAR FILTRATION RATE to less than 15 ml per min (Kidney Foundation: Kidney Disease Outcome Quality Initiative, 2002). These patients generally require HEMODIALYSIS or KIDNEY TRANSPLANTATION.Renal Dialysis: Therapy for the insufficient cleansing of the BLOOD by the kidneys based on dialysis and including hemodialysis, PERITONEAL DIALYSIS, and HEMODIAFILTRATION.Diabetes Mellitus: A heterogeneous group of disorders characterized by HYPERGLYCEMIA and GLUCOSE INTOLERANCE.Activities of Daily Living: The performance of the basic activities of self care, such as dressing, ambulation, or eating.Hospital Mortality: A vital statistic measuring or recording the rate of death from any cause in hospitalized populations.Occupational Diseases: Diseases caused by factors involved in one's employment.ItalyEmployment: The state of being engaged in an activity or service for wages or salary.Self Report: Method for obtaining information through verbal responses, written or oral, from subjects.Data Collection: Systematic gathering of data for a particular purpose from various sources, including questionnaires, interviews, observation, existing records, and electronic devices. The process is usually preliminary to statistical analysis of the data.Forecasting: The prediction or projection of the nature of future problems or existing conditions based upon the extrapolation or interpretation of existing scientific data or by the application of scientific methodology.Neoplasm Staging: Methods which attempt to express in replicable terms the extent of the neoplasm in the patient.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.African Continental Ancestry Group: Individuals whose ancestral origins are in the continent of Africa.Health Status Indicators: The measurement of the health status for a given population using a variety of indices, including morbidity, mortality, and available health resources.Body Composition: The relative amounts of various components in the body, such as percentage of body fat.IndiaSocial Support: Support systems that provide assistance and encouragement to individuals with physical or emotional disabilities in order that they may better cope. Informal social support is usually provided by friends, relatives, or peers, while formal assistance is provided by churches, groups, etc.CaliforniaHealth Behavior: Behaviors expressed by individuals to protect, maintain or promote their health status. For example, proper diet, and appropriate exercise are activities perceived to influence health status. Life style is closely associated with health behavior and factors influencing life style are socioeconomic, educational, and cultural.Outcome Assessment (Health Care): Research aimed at assessing the quality and effectiveness of health care as measured by the attainment of a specified end result or outcome. Measures include parameters such as improved health, lowered morbidity or mortality, and improvement of abnormal states (such as elevated blood pressure).Environmental Exposure: The exposure to potentially harmful chemical, physical, or biological agents in the environment or to environmental factors that may include ionizing radiation, pathogenic organisms, or toxic chemicals.FinlandTomography, X-Ray Computed: Tomography using x-ray transmission and a computer algorithm to reconstruct the image.Body Height: The distance from the sole to the crown of the head with body standing on a flat surface and fully extended.Income: Revenues or receipts accruing from business enterprise, labor, or invested capital.Spain: Parliamentary democracy located between France on the northeast and Portugual on the west and bordered by the Atlantic Ocean and the Mediterranean Sea.Myocardial Infarction: NECROSIS of the MYOCARDIUM caused by an obstruction of the blood supply to the heart (CORONARY CIRCULATION).Mothers: Female parents, human or animal.CreatinineConfounding Factors (Epidemiology): Factors that can cause or prevent the outcome of interest, are not intermediate variables, and are not associated with the factor(s) under investigation. They give rise to situations in which the effects of two processes are not separated, or the contribution of causal factors cannot be separated, or the measure of the effect of exposure or risk is distorted because of its association with other factors influencing the outcome of the study.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.Length of Stay: The period of confinement of a patient to a hospital or other health facility.Students: Individuals enrolled in a school or formal educational program.Overweight: A status with BODY WEIGHT that is above certain standard of acceptable or desirable weight. In the scale of BODY MASS INDEX, overweight is defined as having a BMI of 25.0-29.9 kg/m2. Overweight may or may not be due to increases in body fat (ADIPOSE TISSUE), hence overweight does not equal "over fat".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)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.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)TexasCognition Disorders: Disturbances in mental processes related to learning, thinking, reasoning, and judgment.Parity: The number of offspring a female has borne. It is contrasted with GRAVIDITY, which refers to the number of pregnancies, regardless of outcome.Poverty: A situation in which the level of living of an individual, family, or group is below the standard of the community. It is often related to a specific income level.Neoplasms: New abnormal growth of tissue. Malignant neoplasms show a greater degree of anaplasia and have the properties of invasion and metastasis, compared to benign neoplasms.Coronary Disease: An imbalance between myocardial functional requirements and the capacity of the CORONARY VESSELS to supply sufficient blood flow. It is a form of MYOCARDIAL ISCHEMIA (insufficient blood supply to the heart muscle) caused by a decreased capacity of the coronary vessels.Motor Activity: The physical activity of a human or an animal as a behavioral phenomenon.Urban Health: The status of health in urban populations.Mortality: All deaths reported in a given population.Population Surveillance: Ongoing scrutiny of a population (general population, study population, target population, etc.), generally using methods distinguished by their practicability, uniformity, and frequently their rapidity, rather than by complete accuracy.Substance-Related Disorders: Disorders related to substance abuse.Self Concept: A person's view of himself.Maternal Age: The age of the mother in PREGNANCY.Cholesterol, HDL: Cholesterol which is contained in or bound to high-density lipoproteins (HDL), including CHOLESTEROL ESTERS and free cholesterol.Family Characteristics: Size and composition of the family.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.Remission, Spontaneous: A spontaneous diminution or abatement of a disease over time, without formal treatment.Parents: Persons functioning as natural, adoptive, or substitute parents. The heading includes the concept of parenthood as well as preparation for becoming a parent.Acute Disease: Disease having a short and relatively severe course.Tumor Markers, Biological: Molecular products metabolized and secreted by neoplastic tissue and characterized biochemically in cells or body fluids. They are indicators of tumor stage and grade as well as useful for monitoring responses to treatment and predicting recurrence. Many chemical groups are represented including hormones, antigens, amino and nucleic acids, enzymes, polyamines, and specific cell membrane proteins and lipids.Interviews as Topic: Conversations with an individual or individuals held in order to obtain information about their background and other personal biographical data, their attitudes and opinions, etc. It includes school admission or job interviews.Marital Status: A demographic parameter indicating a person's status with respect to marriage, divorce, widowhood, singleness, etc.Glomerular Filtration Rate: The volume of water filtered out of plasma through glomerular capillary walls into Bowman's capsules per unit of time. It is considered to be equivalent to INULIN clearance.Area Under Curve: A statistical means of summarizing information from a series of measurements on one individual. It is frequently used in clinical pharmacology where the AUC from serum levels can be interpreted as the total uptake of whatever has been administered. As a plot of the concentration of a drug against time, after a single dose of medicine, producing a standard shape curve, it is a means of comparing the bioavailability of the same drug made by different companies. (From Winslade, Dictionary of Clinical Research, 1992)Anxiety: Feeling or emotion of dread, apprehension, and impending disaster but not disabling as with ANXIETY DISORDERS.Psychiatric Status Rating Scales: Standardized procedures utilizing rating scales or interview schedules carried out by health personnel for evaluating the degree of mental illness.Waist Circumference: The measurement around the body at the level of the ABDOMEN and just above the hip bone. The measurement is usually taken immediately after exhalation.Hemoglobin A, Glycosylated: Minor hemoglobin components of human erythrocytes designated A1a, A1b, and A1c. Hemoglobin A1c is most important since its sugar moiety is glucose covalently bound to the terminal amino acid of the beta chain. Since normal glycohemoglobin concentrations exclude marked blood glucose fluctuations over the preceding three to four weeks, the concentration of glycosylated hemoglobin A is a more reliable index of the blood sugar average over a long period of time.Occupations: Crafts, trades, professions, or other means of earning a living.Workplace: Place or physical location of work or employment.TurkeyCause of Death: Factors which produce cessation of all vital bodily functions. They can be analyzed from an epidemiologic viewpoint.Adolescent Behavior: Any observable response or action of an adolescent.Attitude to Health: Public attitudes toward health, disease, and the medical care system.Canada: The largest country in North America, comprising 10 provinces and three territories. Its capital is Ottawa.Patient Acceptance of Health Care: The seeking and acceptance by patients of health service.Metabolic Syndrome X: A cluster of metabolic risk factors for CARDIOVASCULAR DISEASES and TYPE 2 DIABETES MELLITUS. The major components of metabolic syndrome X include excess ABDOMINAL FAT; atherogenic DYSLIPIDEMIA; HYPERTENSION; HYPERGLYCEMIA; INSULIN RESISTANCE; a proinflammatory state; and a prothrombotic (THROMBOSIS) state. (from AHA/NHLBI/ADA Conference Proceedings, Circulation 2004; 109:551-556)Body Weights and Measures: Measurements of the height, weight, length, area, etc., of the human and animal body or its parts.Health Services Accessibility: The degree to which individuals are inhibited or facilitated in their ability to gain entry to and to receive care and services from the health care system. Factors influencing this ability include geographic, architectural, transportational, and financial considerations, among others.Biometry: The use of statistical and mathematical methods to analyze biological observations and phenomena.Nutritional Status: State of the body in relation to the consumption and utilization of nutrients.Lung Neoplasms: Tumors or cancer of the LUNG.Lipids: A generic term for fats and lipoids, the alcohol-ether-soluble constituents of protoplasm, which are insoluble in water. They comprise the fats, fatty oils, essential oils, waxes, phospholipids, glycolipids, sulfolipids, aminolipids, chromolipids (lipochromes), and fatty acids. (Grant & Hackh's Chemical Dictionary, 5th ed)Insulin Resistance: Diminished effectiveness of INSULIN in lowering blood sugar levels: requiring the use of 200 units or more of insulin per day to prevent HYPERGLYCEMIA or KETOSIS.Health Care Surveys: Statistical measures of utilization and other aspects of the provision of health care services including hospitalization and ambulatory care.Continental Population Groups: Groups of individuals whose putative ancestry is from native continental populations based on similarities in physical appearance.Causality: The relating of causes to the effects they produce. Causes are termed necessary when they must always precede an effect and sufficient when they initiate or produce an effect. Any of several factors may be associated with the potential disease causation or outcome, including predisposing factors, enabling factors, precipitating factors, reinforcing factors, and risk factors.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.Pregnancy Outcome: Results of conception and ensuing pregnancy, including LIVE BIRTH; STILLBIRTH; SPONTANEOUS ABORTION; INDUCED ABORTION. The outcome may follow natural or artificial insemination or any of the various ASSISTED REPRODUCTIVE TECHNIQUES, such as EMBRYO TRANSFER or FERTILIZATION IN VITRO.
The body of statistical techniques involves substantial use of regression analysis. Typically a linear relationship such as ... Regression analysis controls for other relevant variables by including them as regressors (explanatory variables). This helps ... Huang, H. (2015). Development of New Methods to Support Systemic Incident Analysis. Doctoral dissertation, Queen Mary ... Note that the analysis does not purport to explain how we make causal judgements or how we reason about causation, but rather ...
More complex techniques use regression. ANOVA is (in part) a test of statistical significance. The American Psychological ... Associated analysis[edit]. Some analysis is required in support of the design of the experiment while other analysis is ... This means that the usual analysis of variance techniques do not apply. Consequently, the analysis of unbalanced factorials is ... Textbook analysis using a normal distribution[edit]. The analysis of variance can be presented in terms of a linear model, ...
Zellner, A. (1986). "On Assessing Prior Distributions and Bayesian Regression Analysis with g Prior Distributions". In Goel, P ... Zellner, A. Bayesian Inference and Decision Techniques: Essays in Honor of Bruno de Finetti. Studies in Bayesian Econometrics. ... The multiple regression model is formulated as y. i. =. x. i. ⊤. β. +. ε. i. .. {\displaystyle y_{i}=x_{i}^{\top }\beta +\ ... In statistics, the g-prior is an objective prior for the regression coefficients of a multiple regression. It was introduced by ...
... (MMM) is statistical analysis such as multivariate regressions on sales and marketing time series data ... through the statistical technique of regression. MMM defines the effectiveness of each of the marketing elements in terms of ... Marketing-Mix analyses are typically carried out using Linear Regression Modeling. Nonlinear and lagged effects are included ... Once the final model is ready, the results from it can be used to simulate marketing scenarios for a 'What-if' analysis. The ...
Regression analysis, another statistical tool, involves finding the ideal relationship between several variables through ... Useful tools such as Cluster Analysis allow Revenue Managers to create a set of data-driven partitioning techniques that gather ... Revenue management techniques measure customer responsiveness to promotions in order to strike a balance between volume growth ... For example, many firms utilize linear programming, a complex technique for determining the best outcome from a set of linear ...
Linear Programming Techniques for Regression Analysis 1960. A postscript to "Dynamic problems in the theory of the firm". ...
Hoerl, Arthur E. (1962). "Application of Ridge Analysis to Regression Problems". Chemical Engineering Progress. 58 (3): 54-59. ... Phillips, D. L. (1962). "A Technique for the Numerical Solution of Certain Integral Equations of the First Kind". Journal of ... L2 regularization is used in many contexts aside from linear regression, such as classification with logistic regression or ... The standard approach is ordinary least squares linear regression. However, if no x. {\displaystyle \mathbf {x} }. satisfies ...
... then the estimated regression may be biased or inconsistent (see omitted variable bias). In addition to regression analysis, ... The term "spurious relationship" is commonly used in statistics and in particular in experimental research techniques, both of ... The main statistical method in econometrics is multivariable regression analysis. Typically a linear relationship such as y = a ... Regression analysis controls for other relevant variables by including them as regressors (explanatory variables). This helps ...
Factor analysis and hierarchical regression were employed for data analysis. In the study, seven motives were identified, ... The use of melodramatic animation in news was seen as an emerging technique used in news reporting at the time.[30][31] The ... The results of hierarchical regression analysis suggest predictive relationships among personality characteristics (sensation ... Critics argue that it instead is more of an approach to analysis or a data-collecting strategy.[62] Among the criticism most ...
The body of statistical techniques involves substantial use of regression analysis. Typically a linear relationship such as y i ... Regression analysis controls for other relevant variables by including them as regressors (explanatory variables). This helps ... Note that the analysis does not purport to explain how we make causal judgements or how we reason about causation, but rather ... If correct, the analysis has the power to explain certain features of causation. Knowing that causation is a matter of ...
Linear programming Statistics Analysis Regression analysis Mathematical modelling. ... Policy capturing is a technique that is used to examine how individuals reach decisions. Policy capturing is regarded as a form ... Policy capturing assessments rely upon regression analysis models. Policy capturing is frequently used by businesses to assess ... Subsequent analysis showed that factors unrelated to experience, such as age and sex, affected decisions. Furthermore, the ...
In regression analysis, this approach is known as the Box-Cox technique. The reciprocal and some power transformations can be ... Linear regression is a statistical technique for relating a dependent variable Y to one or more independent variables X. The ... the Box-Cox transformation for regression analysis and the arcsine square root transformation or angular transformation for ... In an analysis where X and Y are treated symmetrically, the log-ratio log(X / Y) is zero in the case of equality, and it has ...
It can be used for data analysis, particularly for solving regression and classification problems. ... Libmep is a free and open source library implementing Multi Expression Programming technique. It is written in C++. ... hmep is a new open source library implementing Multi Expression Programming technique in Haskell programming language. ...
It draws heavily from quantitative techniques such as regression analysis, correlation and calculus. If there is a unifying ... Pricing analysis - microeconomic techniques are used to analyze various pricing decisions including transfer pricing, joint ... Production analysis - microeconomic techniques are used to analyze production efficiency, optimum factor allocation, costs, ... Analysis of demand is important for a firm as its revenue, profits, and income of its employees depend on it. Business ...
Analysis of fatigue data requires techniques from statistics, especially survival analysis and linear regression. The ... Complex loading is reduced to a series of simple cyclic loadings using a technique such as rainflow analysis; A histogram of ... For more complex situations, such as nonproportional loading, Critical plane analysis must be applied. In 1945, M. A. Miner ... Probability distributions that are common in data analysis and in design against fatigue include the log-normal distribution, ...
The techniques were mainly numerical, and largely based on time-series analysis; though regression analysis, for investigating ... The seemingly mathematical accuracy of the techniques was seductive and, in the relatively stable decade of the 1960s, it often ... historical trends, eventually also emerged as a much reported technique. ...
Where the output is expected to be a number rather than a class, regression analysis is required. The automatic generation of ... MIR techniques for similarity in music are now beginning to form part of such systems. Track separation is about extracting the ... and this recently includes analysis of social tags for music. Analysis can often require some summarising, and for music (as ... Digital audio formats such as WAV, mp3, and ogg are used when the audio itself is part of the analysis. Lossy formats such as ...
The Smearing retransformation is used in regression analysis, after estimating the logarithm of a variable. Estimating the ... logarithm of a variable instead of the variable itself is a common technique to more closely approximate normality. In order to ...
Regression analysis is used in hydrology to determine whether a relationship may exist between independent and dependent ... These techniques, collectively known as extreme value analysis, provide a methodology for identifying the likelihood and ... Factor Analysis and Principal Component Analysis are multivariate statistical procedures used to identify relationships between ... using a correlation analysis technique and rain-gauge data". Journal of Hydrology. 48 (1-2): 19-39. doi:10.1016/0022-1694(80) ...
These have special analysis methods. In particular linear regression techniques are much more efficient than most non-linear ... Draper, Norman R.; Smith, Harry (25 August 2014). Applied Regression Analysis. John Wiley & Sons. pp. 657-. ISBN 978-1-118- ... and thus can be analyzed by linear regression techniques. For more than one parameter the method extends in a direct manner. ... The model inversion technique above can be used as a method of determining whether a model can be improved. In this case ...
Matching can also be used to "pre-process" a sample before analysis via another technique, such as regression analysis. ... the most general tool for the analysis of matched data is conditional logistic regression as it handles strata of arbitrary ... Matching is a statistical technique which is used to evaluate the effect of a treatment by comparing the treated and the non- ... Propensity score matching, an early matching technique, was developed as part of the Rubin causal model. Matching has been ...
Regression Analysis: A Constructive Critique (Advanced Quantitative Techniques in the Social Sciences) (v. 11) Sage ... the analysis of variance, and regression Survey sampling Summarizing statistical data Algorithmic inference Induction ( ... The statistical analysis of a randomized experiment may be based on the randomization scheme stated in the experimental ... Analyses which are not formally Bayesian can be (logically) incoherent; a feature of Bayesian procedures which use proper ...
Techniques such as logistic regression and probit regression can be used for empirical analysis of discrete choice. Estimation ... This third requirement distinguishes discrete choice analysis from forms of regression analysis in which the dependent variable ... and demand can be modeled empirically using regression analysis. On the other hand, discrete choice analysis examines ... Chu, C. (1989). "A Paired Combinatorial Logit Model for Travel Demand Analysis". Proceedings of the 5th World Conference on ...
... used in these formula come either from accounting records or from various estimation techniques such as regression analysis. ... Break-even analysis is only a supply-side (i.e., costs only) analysis, as it tells you nothing about what sales are actually ... Break-even analysis can also help businesses see where they could re-structure or cut costs for optimum results. This may help ... In break-even analysis, margin of safety is the extent by which actual or projected sales exceed the break-even sales. Margin ...
Regression analysis is a type of statistical technique used to determine the important factors that affect the outcome of the ... regression analysis assigns a "weight" to each factors that identifies how much it affects the outcome of the event. Regression ... Regression analysis is able to identify that events tend to occur together (or the opposite), but not if one causes the other. ... Regression analysis also falls short in certain cases which are more difficult to model. For instance, in football, 3 or 7 ...
Ernst, E. (2008). "Placebo and other Non-specific Effects". In Ernst, E. (ed.). Healing, Hype, or Harm? A Critical Analysis of ... Regression to the mean. A patient who receives an inert treatment may report improvements afterwards that it did not cause.[117 ... Use of standard-of-care treatment in addition to an alternative technique being tested may produce confounded or difficult-to- ... An analysis of the conclusions of only the 145 Cochrane reviews was done by two readers. In 83% of the cases, the readers ...
Then, to enlarge the training population, data from the three breeds were combined and a multi-breed analysis was performed. ... Using the partial least squares regression method in the multi-breed resulted in lower imputation accuracies than using single- ... Accuracies of genotypes imputed using the partial least squares regression method were compared with those obtained by using ... the accuracy of imputation using partial least squares regression was around 90 and 94% for the 3K and 7K platforms, ...
Business control through multiple regression analysis: a technique for the numerate manager. A Gower Press Special Study. ... Business control through multiple regression analysis: a technique for the .... James H. Heward,Peter M. Steele. Snippet view ... Business control through multiple regression analysis: a technique for the numerate manager. ... Regression Analysis. Business & Economics / Industrial Management. Industrial management. Mathematics / Probability & ...
... which we can study the impact of different risk management techniques and different software risk factors on software analysis ... The aim of this paper is to propose new mining techniques by ... correlation analysis; fuzzy regression analysis techniques with ... The new mining technique uses the fuzzy multiple regression analysis techniques with fuzzy concepts to manage the software ... Managing Software Project Risks (Analysis Phase) with Proposed Fuzzy Regression Analysis Modelling Techniques with Fuzzy ...
... and statistical analysis of potential inputs and outputs. PCA is a technique widely used for reducing the number of input ... Multiple Linear Regressions. Multiple linear regressions (MLR) model is one of the modelling techniques to investigate the ... The accuracy of the wavelet multiple linear regression (WMLR) technique in the forecasting daily crude oil has been ... Thus there were 8 subseries considered for the PCA analysis. The result of PCA analysis is shown in Table 1. Table 1 shows that ...
Application of Box-Wilson Optimization Technique to the POY Properties - Free download as PDF File (.pdf), Text File (.txt) or ... This experimental modeling technique allows the determination. of the regression equation in a very short time. The parameter ( ... design technique was found suitable for the first-order regression equation.. Model constants were calculated using MATLAB ... omitted from the regression equations. The next step was the application of. Fishers F test to see the fitness of the new ...
Based on the results of correlation and regression analyses with the quizzes and final exam as the dependent measures, the ... The relationship of these variables to quiz and final examination performance was investigated through correctional analysis. ... Development of a Model for Adaptive Training via Computer-Assisted Instruction Utilizing Regression Analysis Techniques. ... Based on the results of correlation and regression analyses with the quizzes and final exam as the dependent measures, the ...
We propose a general approach of resampling techniques in regression analysis that allows us to choose the stopping ... We first focus on linear regression model, and then extended our approach to generalized regression, cox regression and finally ... We focus on optimizing cutoff values or stopping criterions in automated model selection methods in regression analysis due to ... In the literature, many variable selection methods for regression modeling have been developed whose performance depends ...
M-group regression analysis technique so far developed has two major problems. The first one is that the model always assumes ... Develpooing data analytic techniques for the entrance examinations utilizing m-group regression analysis and decision theoretic ... The second problem is that the usual in-group regression analysis is restricted to the linear model. In this research, we ... m-group regression / neural network regression / utility scaling / 経験的ベイズ推定法. ...
View our complete catalog of authoritative Regression Analysis and Multivariate Statistics related book titles and textbooks ... Basic to Advanced Techniques By Joel E. Collier. June 03, 2020 by Routledge ... Data Analysis. A Model Comparison Approach To Regression, ANOVA, and Beyond, Third Edition By Charles M. Judd. , Gary H. ... Multiple Regression and Beyond. An Introduction to Multiple Regression and Structural Equation Modeling By Timothy Z. Keith. ...
... regression and data analysis, topics in regression analysis and techniques for understanding quantitative secondary data for ... 3203 Topics in Regression Analysis. Year. 2020. 3209 Techniques Quantitative Data. Title. 3209 Techniques Quantitative Data. ... 1113 Regression and Data Analysis. Title. 1113 Regression and Data Analysis. Year. 2020. ...
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A decade of evolving composite techniques: regression- and meta-analysis. Journal of Forensic Practice, 17 (4). pp. 319-334. ... Design/methodology/approach - The paper involves regression- and meta-analyses on composite-naming data from 23 studies that ... The analysis also confirmed that composites were considerably less effective when constructed from a long (1 - 2 day) compared ... Findings - The analyses reveal that composites constructed from the holistic EvoFIT system were over four-times more ...
The meta-regression analysis indicates that IRS is more effective with high initial prevalence, multiple rounds of spraying, ... This study reports the findings of a meta-regression analysis based on 13 published studies, which were chosen from more than ... Techniques for Hemagglutination and Hemagglutination-Inhibition with Arthropod-Borne Viruses D. H. Clarke and J. Casals ... How should meta-regression analyses be undertaken and interpreted? Stat Med 21: 1559- 1573.[Crossref]. [Google Scholar] ...
Regression Analysis. Forecasting Techniques. Decision Analysis. Optimization. Simulation. To understand and predict ... Application of Data Analysis Techniques. HONDA MOTORCYCLES. TECHNIQUES. COMPANYS INTRODUCTION. CD-70 & INFLATION RATE. ... REGRESSION ANALYSIS. CD-70 & DELUXE. TOTAL SALES & INFLATION + GASOLINE PRICES. CD-70. CG-125. THANK YOU :) Data Mining. ... MULTIPLE REGRESSION. To understand and predict the relationship of total sales with inflation & gasoline prices.. Objective:. ...
Optimization Techniques. 3 hours. MA 763. Simulation Techniques. 3 hours. MA 764. Regression Analysis. 3 hours. ...
... of Science in Applied Statistics and Psychometrics meets the need for quantitative specialists to conduct statistical analyses ... chi-square goodness-of-fit and contingency table analysis, multiple regression, analysis of variance with planned and post hoc ... residual analysis techniques; partial and semipartial correlations; variance partitioning; dummy, effect, and orthogonal coding ... Conduct analyses using advanced procedures such as multiple regression, multivariate models, hierarchical linear modeling, ...
Time Series Analysis: Regression Techniques (Quantitati.... Charles W. Ostrom Time Series Analysis: Regression Techniques ( ... Introduction to Data Envelopment Analysis and Its Uses:.... William W. Cooper Introduction to Data Envelopment Analysis and Its ... Design and Analysis:A Researchers Handbook: Intern.... Geoffrey Keppel ; Thomas D. Wickens 894,00 TL ... Design and Analysis:A Researchers Handbook: Intern... Yazar. : Geoffrey Keppel ; Thomas D. Wickens. ...
Formulas for Analysis of Variance. Formulas for Regression Analysis. Formulas for Quality Control Formulas for Time Series ... It provides quantitative techniques for modeling pandemics, such as COVID-19. It also adds to the suite of mathematical tools ... The premise of this handbook is to empower users and tool developers with the appropriate collection of formulas and techniques ...
... correlation and regression analysis; introduction to further topics chosen from Chi-square tests, multiple regression, and ... Techniques used in the solution of diverse mathematical problems are developed and discussed. The problems are drawn from areas ... and correlation and regression analysis. Prerequisites: Either 313-10500 or 313-10600 and math placement in Group 2; or 313- ... correlation and regression analysis. Technology used in this course may include graphing calculators and statistical software. ...
A multi-regression analysis of airline indirect operating costs Taneja, Nawal K.; Simpson, R. W. ([Cambridge, Mass.] : ... Evaluation of forecasting techniques for short-term demand of air transportation Wickham, Richard Robert ([Cambridge, Mass. : ... A multiple regression analysis of domestic and local airline indirect costs was carried out to formulate cost estimating ... This report shows the application of Regression Analysis in reservations forecasting in airline yield management. The first ...
Prediction of column ozone concentrations using multiple regression analysis and principal component analysis techniques: A ... Ozone; Multiple regression analysis; Principal component analysis; Peninsular Malaysia; Correlation coefficient; 英文摘要:. ... Multiple regression analysis (MRA) and principal component analysis (PCA) methods were utilized to achieve the objectives of ... Four regression equations, denoted as O 3 NEM, O 3 SWM, (PCA1) O 3 NEM season, and (PCA2) O 3 SWM season, were developed. ...
Modeling techniques; Regression analysis. To cite this abstract, use the following link:. http://www.ncjrs.gov/App/publications ... Not applicable for the analysis of recidivism rates is the Cox proportional hazards regression model which assumes proportional ...
A Model-Based Technique for Spark Timing Control in an SI Engine Using Polynomial Regression Analysis. 2009-04-20 ... Physical model tuning and validation were done, followed by the creation of a dataset for the regression analysis of charging ... employing engine cycle simulation and polynomial regression analysis, have been developed and the reliability of the proposed ... Analysis of Knocking Suppression Effect of Cooled EGR in Turbo-Charged Gasoline Engine. 2014-04-01 ...
A Model-Based Technique for Spark Timing Control in an SI Engine Using Polynomial Regression Analysis. 2009-04-20 ... Physical model tuning and validation were done, followed by the creation of a dataset for the regression analysis of charging ... employing engine cycle simulation and polynomial regression analysis, have been developed and the reliability of the proposed ... In our technique, creating a total engine system model begins by first entirely capturing the characteristics of the components ...
Statistical Concepts and Techniques • Hypothesis Testing • Regression analysis • Sample size calculation • Data Manipulation • ... Identify appropriate statistical techniques for data analysis (Programme LO A2, A4.B1, B2, B4 and B5) ... Make comparison between groups using appropriate statistical techniques • Report analyses to publication standard Assessment ... You will be taught how to use both SPSS and Graphpad PRISM for both statistical analysis and presentation of data. At the end ...
  • The correlation between estimates of genetic merit obtained by using imputed versus actual genotypes was around 0.96 for the 7K chip.ConclusionsResults of the present work suggested that the partial least squares regression imputation method could be useful to impute SNP genotypes when pedigree information is not available. (omictools.com)
  • Then, to enlarge the training population, data from the three breeds were combined and a multi-breed analysis was performed. (omictools.com)
  • Using the partial least squares regression method in the multi-breed resulted in lower imputation accuracies than using single-breed data. (omictools.com)
  • BackgroundThe objective of the present study was to test the ability of the partial least squares regression technique to impute genotypes from low density single nucleotide polymorphisms (SNP) panels i.e. 3K or 7K to a high density panel with 50K SNP. (omictools.com)
  • Accuracies of genotypes imputed using the partial least squares regression method were compared with those obtained by using the Beagle software. (omictools.com)
  • Moreover, computing time required by the partial least squares regression method was on average around 10 times lower than computing time required by Beagle. (omictools.com)
  • Chapter 4 covers causal inference based on counterfactuals for mediation analysis with a continuous mediator and a continuous outcome. (statmodel.com)
  • Chapter 8 covers causal inference for mediation analysis with a binary outcome and a continuous mediator, a count outcome and a continuous mediator, a two- part outcome and a continuous mediator, a binary and an ordinal mediator, a nominal mediator, and a mediator with measurement error. (statmodel.com)
  • As for measuring utility functions, a computer program was developped which uses the maximum likelihood estimation technique based on the assumption that the indifference probabilities have beta distribution. (nii.ac.jp)
  • This approach thus offers a standardized procedure for amniotic fluid volume estimation in the second trimester based on the technical simplicity of ultrasonography with the relative accuracy of the dye dilution technique. (biomedsearch.com)
  • Topics such as GMM estimation methods, Lagrange multiplier tests and time series analysis are also covered. (google.com)
  • This new edition includes discussion of identifiability and its relationship to estimability, different approaches to the theories of testing parametric hypotheses and analysis of covariance, additional discussion of the geometry of least squares estimation and testing, new discussion of models for experiments with factorial treatment structures, and a new appendix on possible causes for getting test statistics that are so small as to be suspicious. (textbooks.com)
  • Correlation and simple linear regression: Regression concepts, estimation and testing for regression coefficients, evaluation of the model. (sfu.ca)
  • C. Cai , G. Wang , Y. Wen , J. Pei , X. Zhu and W. Zhuang , Superconducting transition temperature t c estimation for superconductors of the doped mgb2 system using topological index via support vector regression, Journal of Superconductivity and Novel Magnetism , 23 (2010), 745-748. (aimsciences.org)
  • Chapter 9 discusses Bayesian analysis and uses it to estimate several mediation examples which show how it can be used as an alternative to maximum likelihood estimation. (statmodel.com)
  • Further, the book considers decompositions of tensor products into natural subspaces, and addresses maximum likelihood estimation, residual analysis, influential observation analysis and testing hypotheses, where properties of estimators such as moments, asymptotic distributions or approximations of distributions are also studied. (springer.com)
  • Model-based methodologies for the engine calibration process, employing engine cycle simulation and polynomial regression analysis, have been developed and the reliability of the proposed method was confirmed by validating the model predictions with dynamometer test data. (sae.org)
  • To establish associations between bioburden and rate of healing, Cox proportional hazards and least squares regression were used after adjusting for ulcer depth, surface area, and duration. (nih.gov)
  • Public health surveillance is the ongoing, systematic collection, analysis, interpretation, and dissemination of health data to help guide public health decision making and action. (cdc.gov)
  • Better understand processes with a wide spectrum of advanced analytics tools, including exploratory analysis, design of experiments with optimizers, and cause-and-effect tools. (sas.com)
  • The results show that all software risks in software projects were very important from software project manager perspective, whereas all risk management techniques are used most of the time, and often. (srce.hr)
  • Gas contents and their reactions in combustion process under the wide range air-fuel ratio have been analyzed, and these results were reflected to the analysis of ion transportation in zirconia electrolyte. (sae.org)
  • Our marketing consultants are experienced in marketing strategy, planning and analysis, so you can be confident you'll get the results you need, fast. (callcredit.co.uk)
  • Far from being a simple list of papers containing the results recalled in the text, it is a real history of statistics, where the early ideas of bilinear regression are highlighted. (springer.com)
  • Screening item accuracy for identifying patients with elevated symptoms was assessed with receiver-operating characteristic analyses. (springer.com)
  • A. Garg and K. Tai, Comparison of regression analysis, artificial neural network and genetic programming in handling the multicollinearity problem, in Modelling, Identification & Control (ICMIC), 2012 Proceedings of International Conference on , IEEE, 2012,353-358. (aimsciences.org)
  • Regression Diagnostics: Identifying Influential Data and Sources of Collinearity provides practicing statisticians and econometricians with new tools for assessing quality and reliability of regression estimates. (wiley.com)