Statistical Models: Theory and Practice

This textbook provides an overview of building and interpreting statistical models, focusing on linear regression and its link to causality. It examines applications in the social and health sciences through case studies, covering topics such as generalized least squares, two-stage least squares, and the bootstrap method. The text emphasizes critical appraisal of methodology and the real-world implications of statistical assumptions.