"Statistical Models is a textbook that explains the things you have to know in order to read empirical papers in the social and health sciences, as well as techniques you need to build statistical models of your own." "The author, David A. Freedman, explains the basic ideas of association and regression, and takes you through the current models that link these ideas to causality. He focuses on applications of linear models, including generalized least squares and two-stage least squares, with probits and logits for binary variables." "Target audiences include undergraduates and beginning graduate students in statistics, as well as students and professionals in the social and health sciences. The discussion in the book is organized around published studies, as are many of the exercises. Relevant journal articles are reprinted at the back of the book."--Jacket.