David Freedman
Canadian-American statistician and longtime UC Berkeley professor, noted for foundational work on statistical modeling, causation, and applications in the social sciences; author of widely used textbooks including Statistics and Statistical Models: Theory and Practice.
Books
This list of books are ONLY the books that have been ranked on the lists that are aggregated on this site. This is not a comprehensive list of all books by this author.
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1. Statistical Models
Theory and Practice
A clear, practice-oriented introduction to statistical modeling that combines mathematical foundations with real-world case studies, showing how regression and related methods can inform—but also mislead—analysis. It explains least squares, likelihood, logistic and Poisson models, interpretation of parameters, diagnostics, and model selection, while stressing assumptions, data quality, and the gap between association and causation. Throughout, it teaches readers to validate models, recognize confounding and specification errors, and favor careful design and randomization when making causal claims.
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2. Strategy