RegressionUnivariate analysis of variaANOVAMANOVACorrelationCovarianceFactorsFactorialOrthogonalStatisticalInferenceNonparametricTesting hypothesesAnalogueMethodsStatisticsModelsComparativeMicrobialDifferencesProcedureTestMeansProbabilityFactorModelProblemsEffectNonlinearData AnalysisLinearPrincipalStudyApplicationsMeta-analysisGroupsVariablesStressDifferenceConditionsPopulation
Regression12
- Multiple Linear Regression Analysis. (routledge.com)
- Survival Analysis and Cox Regression. (routledge.com)
- Poisson Regression Analysis. (routledge.com)
- In regression analyses of associations between amount of telework (in hours per week) and the dependent variables, no significant effects were found. (springer.com)
- Survey data was used to develop univariate and multivariate logistic regression models for six outcome variables originating from the items assessing the acceptance of specific types of eHealth applications. (springer.com)
- We pooled all single years of data into 3 data cycles (2001-2005, 2006-2010, and 2011-2016) and used multivariate regression to assess the relationship between dental care use and race/ethnicity, controlling for the covariates of age, sex, parents' education, household income, insurance status, and data cycle (time). (cdc.gov)
- Univariate analysis showed 13 out of 54 factors investigated were significantly associated with defaulting and, after stepwise logistic regression, 5 factors remained in the model: younger age (adjusted OR= 0.16), rural area of residence (OR = 12.9), long waiting times (OR = 5.81), poor physician-patient communication (OR = 3.06) and fear of information leakage (OR = 3.62). (who.int)
- Factorial experimental designs and multivariate regression analysis techniques were used in studying the effect of mixing variables on black dispersion and other properties. (bl.uk)
- The course covers the basics, principles and limitations for the most common methods for multivariate statistics (analysis of variance, principal component analysis and partial least squares regression), experimental design (super-saturated and factorial designs) and method validation with a focus on practical use. (lu.se)
- analysis of variance (ANOVA) · regression models: simple linear regression, multivariate linear regression and logistic regression. (lu.se)
- In a hierarchical model, Poisson regression analysis was used. (bvsalud.org)
- Univariate and multivariate logistic regression analyses were used for falls (categorical data) and linear regression analyses for FOF (continuous data) as dependent variables. (lu.se)
Univariate analysis of varia3
- mu ^{(1)}=\mu ^{(2)}=\dots =\mu ^{(m)}} MANOVA is a generalized form of univariate analysis of variance (ANOVA), although, unlike univariate ANOVA, it uses the covariance between outcome variables in testing the statistical significance of the mean differences. (wikipedia.org)
- Where sums of squares appear in univariate analysis of variance, in multivariate analysis of variance certain positive-definite matrices appear. (wikipedia.org)
- Dependent variables were tested using multivariate and univariate analysis of variance tests. (confex.com)
ANOVA2
- rma.mv(yi, vi, data=dat) anova(res, res0) This can be easily extended to models with more than two variance components. (ethz.ch)
- This is the aim of multivariate analysis of variance (MANOVA), the analogue of univariate ANOVA when we have multiple response variables for each experimental or sampling unit. (hindawi.com)
MANOVA3
- In statistics, multivariate analysis of variance (MANOVA) is a procedure for comparing multivariate sample means. (wikipedia.org)
- Multivariate Analysis of Variance (MANOVA). (routledge.com)
- The data using analysis of variance, multivariate factor test method (MANOVA) were studied. (preprints.org)
Correlation2
- one could use the eigenvalues of a principal component analysis to express a degree of correlation in a multivariate case. (stackexchange.com)
- Factor analysis is a technique for achieving parsimony by identifying the smallest number of descriptive terms to explain the maximum amount of common variance in a correlation matrix. (vt.edu)
Covariance2
- In this case there are k+p dependent variables whose linear combination follows a multivariate normal distribution, multivariate variance-covariance matrix homogeneity, and linear relationship, no multicollinearity, and each without outliers. (wikipedia.org)
- Multivariate analysis of variance and analysis of covariance models were used for analyses. (cdc.gov)
Factors8
- Analysis of Variance with Multiple Factors. (routledge.com)
- A principal-components analysis was used to extract the initial factors. (vt.edu)
- Extracted factors were examined using a content analysis to find the most concise list of items representative of the data collected. (vt.edu)
- Using squared multiple correlations as the initial communality estimates, principal-components analysis of the data yielded four factors which met the Kaiser's criterion to be retained. (vt.edu)
- The financial impact of these factors is computed and sensitivity analysis may be performed in order to make changes to affect the producibility of the system. (sigmapro.com)
- We used multivariate analysis to determine factors associated with changes in disparities from 2001 through 2016. (cdc.gov)
- We measured changes in racial/ethnic disparities in annual dental care for children and adolescents aged 2 to 17 years and conducted multivariate analysis to study factors associated with changes in disparities over time. (cdc.gov)
- In contrast to the five factors of the TSI identified in US samples, statistical analysis yielded a two-factor model (i.e. (scielo.org.za)
Factorial1
- To establish factorial validity, exploratory factor analysis procedures were used to identify the desired explanatory concepts. (vt.edu)
Orthogonal1
- Normal multivariate analysis and the orthogonal group. (uni-muenchen.de)
Statistical11
- Multivariate Statistical Analysis - An Overview. (routledge.com)
- The results of surveys, analyses, and studies are made known through a number of data release mechanisms including publications, mainframe computer data files, CD-ROMs (Search and Retrieval Software, Statistical Export and Tabulation System (SETS)), and the Internet. (cdc.gov)
- Background information on the procedures, survey components, questionnaires, examination and laboratory methods, and statistical analysis guidelines is available on the NHANES III Reference Manuals and Reports (CD-ROM). (cdc.gov)
- While SigmaPro mainly utilizes Minitab as its core statistical analysis software, our courses can be delivered using any professional statistical package including: RiskWizard Professional, JMP, and others. (sigmapro.com)
- RiskWizard also provides advanced measurement systems and risk analysis as well as statistical tolerancing for Lean, Lean Six Sigma, and Design for Six Sigma (DFSS) applications. (sigmapro.com)
- RiskWizard's cost analysis provides financial performance information that is not provided by measurement routines in traditional statistical analysis software. (sigmapro.com)
- Design effects can be random, fixed or a mixture of both thus providing a much more general methodology for assessing test and measurement, producibility and statistical tolerancing analyses, also unlike the standard statistical packages. (sigmapro.com)
- SigmaPro utilizes Minitab, an all-in-one statistical and graphical analysis software package. (sigmapro.com)
- Minitab is a statistical and graphical analysis software tool for Lean, Lean Six Sigma, Design for Six Sigma (DFSS) and general business transformation. (sigmapro.com)
- Analysis of variance of the results was accomplished with a statistical computer package designated GENSTAT Version 4.03. (bl.uk)
- The aim of the course is to supply the student with fundamental theoretical knowledge in experimental design, multivariate statistics and quality assurance, and skills in the use of associated statistical tools. (lu.se)
Inference1
- Autoregressive time series prediction by means of fuzzy inference systems using nonparametric residual variance estimation. (lu.se)
Nonparametric1
- Testing against ordered alternatives in Model I analysis of variance: normal theory and nonparametric. (uni-muenchen.de)
Testing hypotheses1
- In many applications of the multivariate analyses of variance, the classic parametric solutions for testing hypotheses of equality in population means or multisample and multivariate location problems might not be suitable for various reasons. (unife.it)
Analogue1
- A multivariate analogue of the one-sided test. (uni-muenchen.de)
Methods2
Statistics6
- Subject: [EXT] RE: Test statistics for variance components in multivariate meta-analysis and interpretation of the output Hi Selcuk, Please see below for my responses. (ethz.ch)
- 1) How do I obtain test statistics for the variance components? (ethz.ch)
- This book explains the advanced but essential concepts of Multivariate Statistics in a practical way while touching the mathematical logic in a befitting manner. (routledge.com)
- He has authored a book titled 'Statistics Made Simple' using Excel and SPSS, apart from delivering lectures on software based analysis and interpretation. (routledge.com)
- Cross Validated is a question and answer site for people interested in statistics, machine learning, data analysis, data mining, and data visualization. (stackexchange.com)
- Reading and understanding multivariate statistics. (bvsalud.org)
Models1
- However, when combined in multivariate models, only the belief in the usefulness of the Internet (five of six models), level of education (four of six models), and previous hospitalization due to chronic disease (three of six models) maintained the effect on the independent variables. (springer.com)
Comparative2
- Multivariate multisample location problems lack a comparative study of the power behaviour of the most important combined permutation tests as the number of variables diverges. (unife.it)
- Here, we conducted comparative analyses of trans-kingdom community assemblages thriving in the mesopelagic oxygen minimum zone (OMZ), mesopelagic oxic, and their epipelagic counterparts. (nature.com)
Microbial2
- We combined measurements of bulk microbial and soil properties with high-throughput microbial community analyses to elucidate microbial responses and microbial-mediated alterations to carbon cycling. (nature.com)
- We investigated the relationship of the microbiome with the neuroanatomy and cognitive function of 281 healthy children in a cross-sectional analysis and demonstrated that differences in gut microbial taxa and gene functions are associated with the size of brain regions and with overall cognitive function. (biorxiv.org)
Differences1
- 001). Planned posthypothesis analyses were performed to examine individual differences across the 4 domains. (hairlosstalk.com)
Procedure1
- As a multivariate procedure, it is used when there are two or more dependent variables, and is often followed by significance tests involving individual dependent variables separately. (wikipedia.org)
Test1
- 2013. Forecasting natural gas spot prices with nonlinear modeling using Gamma test analysis. (lu.se)
Means1
- Comparison of Multivariate Means. (routledge.com)
Probability1
- Thus the result of analysis is a tabular bivariate probability distribution. (itk.org)
Factor3
- Another related concept is the variance inflation factor . (stackexchange.com)
- From this examination a four-factor solution was suggested by the analysis of data. (vt.edu)
- Confirmatory factor analysis was used to further explore the effect of text manipulations on the structure of the PCST components. (umd.edu)
Model2
- Variance based sensitivity analysis of model output. (crossref.org)
- A multivariate model was specified, showing older adults being more satisfied with their pain treatment. (hindawi.com)
Problems2
- On the problem of testing location in multivariate problems for restricted alternatives. (uni-muenchen.de)
- One sided problems in multivariate analysis. (uni-muenchen.de)
Effect1
- A multivariate analysis of variance was performed to understand the effect of hair transplant on observer perceptions. (hairlosstalk.com)
Nonlinear1
- Dependent Nonlinear Analysis of Hedge Funds. (lu.se)
Data Analysis1
- His areas of Research Interests are Inventory modeling, Sampling plans and Data Analysis. (routledge.com)
Linear1
- Binary Classification with Linear Discriminant Analysis. (routledge.com)
Principal2
- begingroup$ PCA = principal component analysis. (stackexchange.com)
- Nubia A mparo Giraldo Giraldo 1 principal component analysis were used to analyze the relationship between some variables and vitamin D status. (bvsalud.org)
Study2
- This study investigated different occupations so that an analysis could provide vocational-technical educators and teacher educators with information about the affective domain. (vt.edu)
- BACKGROUND: For North Chinese lung cancer patients, there is limited study on the distribution of air pollution and smoking related features based on analyses of large-scale, high-quality population datasets. (bvsalud.org)
Applications1
- Cluster Analysis and its applications. (routledge.com)
Meta-analysis1
- multivariate meta-analysis. (ethz.ch)
Groups2
- Novel taxonomic signatures emerged from OMZ while a global co-occurrence network analysis showed that about 70% of the abundance of mesopelagic plankton groups is organized into three community modules. (nature.com)
- Independent t -tests and repeated measures of analyses of variance (between- and within-subjects) were performed on the difference between the intended and actual protein intakes between the 2 groups. (nursingcenter.com)
Variables3
- In preparing a data set for analysis, other data files should be merged with either or both of the Adult Household Data File or the Youth Household Data File to obtain many important analytic variables. (cdc.gov)
- RiskWizard's sensitivity analysis capability clearly identifies specific variables for focused improvement efforts. (sigmapro.com)
- 2009. Selección de variables en la predicción de llamadas en un centro de atención telefónica. (lu.se)
Stress1
- Univariate analyses of variance showed that ratings of stress related to indistinct organization and conflicts were higher among academics that telework several times per week or more than among academics that telework less than once per month. (springer.com)
Difference1
- A multivariate analysis of variance computed the difference between the birth and discharge gains. (nursingcenter.com)
Conditions2
- Multivariate analyses revealed that environmental conditions in La Sabana are spatially and temporally heterogeneous. (mdpi.com)
- A multivariate analysis of variance was used to compare the conditions. (umd.edu)
Population1
- The population structure analysis indicated that natural mortality is constraining the cockle communities given the low abundance of adult individuals with marketable size in both estuaries. (frontiersin.org)