Sample size, time points, Bayesian models, and missing values in mixed models

The chapter covers the influence of sample size and time points on linear mixed models in phase 1 and phase 3 studies, as well as the application of Bayesian models and handling missing values in datasets. It emphasizes the utilization of mixed models for longitudinal data, focusing on model-based imputation for missing data and methods like last observation carried forward and multiple imputation.