A practical guide to the most important techniques available for longitudinal data analysis, essential for non-statisticians and researchers.

Drawing from the authors' own work and from the most recent developments in the field, Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling an

Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between vario

Missing data pose challenges to real-life data analysis. Simple ad-hoc fixes, like deletion or mean imputation, only work under highly restrictive conditions, w

Randomized clinical trials are the primary tool for evaluating new medical interventions. Randomization provides for a fair comparison between treatment and con