Detail kurzu
Mixed Models Analyses Using SAS(R)
EDU Trainings s.r.o.
Popis kurzu
This course teaches you how to analyze linear mixed models using the MIXED procedure. A brief introduction to analyzing generalized linear mixed models using the GLIMMIX procedure is also included.
Obsah kurzu
Introduction to Mixed Modelsidentifying fixed and random effectsdescribing linear mixed model equations and assumptionsfitting a linear mixed model for a randomized complete block design using the MIXED procedurewriting CONTRAST and ESTIMATE statements to perform custom hypothesis testsExamples of Mixed Models in Some Designed Experimentsfitting a linear mixed model for two-way mixed modelsfitting a linear mixed model for nested mixed modelsfitting a linear mixed model for split-plot designsfitting a linear mixed model for crossover designsExamples of Mixed Models with Covariatesfitting analysis of covariance models with random effectsperforming random coefficient regression analysisconducting hierarchical linear modelingBest Linear Unbiased Predictionexplaining BLUPs and EBLUPsproducing parameter estimates associated with the fixed effects and random effectsexplaining the difference between LSMEANS and EBLUPscomputing LSMEANS and EBLUPs using the MIXED procedureRepeated Measures Analysisdiscussing issues on repeated measures analysis, including modeling covariance structureanalyzing repeated measures data using the four-step process with the MIXED procedureMixed Models Residual Diagnostics and Troubleshootingperforming residual and influence diagnostics for linear mixed modelstroubleshooting convergence problemsAdditional Information about Linear Mixed Models (Self-Study)discussing issues associated with unbalanced data, data with empty cells, estimation and inference of variance parameters, and different denominator degrees of freedom estimation methodsIntroduction to Generalized Linear Mixed Models and Nonlinear Mixed Modelsdiscussing the situations where generalized linear mixed models and nonlinear mixed models analysis are neededperforming the analysis for generalized linear mixed models using the GLIMMIX procedureCieľová skupina
Statisticians, experienced data analysts, and researchers with sound statistical knowledge
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