This book brings together a collection of articles on statistical methods relating to missing data analysis, including multiple imputation, propensity scores, i

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

This text presents statistical methods for studying causal effects and discusses how readers can assess such effects in simple randomized experiments.

This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets. Following in the tr