PHB 223Analysis of Longitudinal Data
Analysis of longitudinal data applied to biomedical research. Models for continuous, binary, and count outcomes include the general linear model, linear and generalized linear mixed-effects models, and generalized estimating equations (GEE). Other topics: model building and model selection strategies; types of missing data and dropout; power and sample size calculations. While the focus is on practical statistical modeling, the estimation methodology and computational aspects are explored. Renumbered from FMPH 223. Students may not receive credit for PHB 223 and FMPH 223. Must be taken for a letter grade to be applied to the biostatistics degree requirements.