This lively and engaging book explains the things you have to know in order to read empirical papers in the social and health sciences, as well as the technique

Praise for the First Edition "This impressive and eminently readable text . . . [is] a welcome addition to the statistical literature." —The Indian Journal of

Models and likelihood are the backbone of modern statistics and data analysis. The coverage is unrivaled, with sections on survival analysis, missing data, Mark

Modern survival analysis and more general event history analysis may be effectively handled within the mathematical framework of counting processes. This book p

Statistical Models in S extends the S language to fit and analyze a variety of statistical models, including analysis of variance, generalized linear models, ad