Transcription of Longitudinal Data Analysis: Repeated Measures …
{{id}} {{{paragraph}}}
Longitudinal data Analysis: Repeated Measures ANOVAA aron JonesDuke UniversityBIOSTAT 790 April 7, 2016 Aaron Jones (BIOSTAT 790)RM ANOVAA pril 7, 20161 / 14 Overview1 Multivariate ModelsGEE vs. GLMMMANOVA vs. RM ANOVA2RM ANOVA Model3RM ANOVA Examples: SS & F-Tests4 SphericityAaron Jones (BIOSTAT 790)RM ANOVAA pril 7, 20162 / 14 GEE vs. GLMMF amiliar GLM, ANOVA assume independent residualsCorrelated outcomes require multivariate extensionGeneralized Estimating Equations (GEE)Only need mean model and working correlation matrixNeither assumes nor estimates sources of varianceGeneralized Linear Mixed Model (GLMM)Likelihood-based, need to specify random effectsIn return, estimates variance due to each sourceAaron Jones (BIOSTAT 790)RM ANOVAA pril 7, 20163 / 14 MANOVA vs.
Longitudinal Data Analysis: Repeated Measures ANOVA Aaron Jones Duke University BIOSTAT 790 April 7, 2016 Aaron Jones (BIOSTAT 790) RM ANOVA April 7, …
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document:
{{id}} {{{paragraph}}}
Bian Office for Faculty Excellence, Repeated Measures, Repeated Measures Analysis, REPEATED MEASURES ANOVA, Analysis, SAS Output for Repeated Measures, Factor Repeated Measure ANOVA, Use of Repeated Measures Analysis of, SPSS INSTRUCTION CHAPTER 9, SPSS INSTRUCTION – CHAPTER 9, REPEATED, Measures, Repeated Measures 1 Running head, Repeated Measures Design, Repeated Measures Analysis of Variance, REPEATED-MEASURES ANOVA REPEATED MEASURES ANOVA