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

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

An up-to-date, comprehensive treatment of a classic text on missing data in statistics The topic of missing data has gained considerable attention in recent dec

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