Statistical Models and Causal Inference

Explore the profound insights of David A. Freedman in his pivotal work, Statistical Models and Causal Inference, published by Cambridge University Press in 2009. Spanning 416 pages, this book offers a comprehensive synthesis of Freedman's critical perspectives on the foundations and limitations of statistical modeling within the realms of social sciences.

Freedman challenges the reader to rethink contemporary statistical methods, asserting that many of the recent technical advancements may actually signify a regression rather than genuine progress. This thought-provoking text is designed for statisticians, researchers, and social scientists who seek a deeper understanding of causation and the reliability of various modeling approaches. Engage with Freedman's compelling arguments and refine your appreciation for the intricacies of statistical analysis.