Traditional methods for analysis of longitudinal and clustered data
Linear mixed models for longitudinal and clustered data
Linear models for non-normal outcomes
Non-parametric methods for the analysis of repeatedly measured data
Post hoc analysis and adjustments for multiple comparisons
Handling of missing data and dropout in longitudinal studies
Controlling for covariates in studies with repeated measures
Assessment of moderator and mediator effects
Mixture models for trajectory analyses
Study design and sample size calculations
Summary and further readings.