Statistical Modeling, Causal Inference, and Social Science (Andrew Gelman Blog)

Statistical Modeling, Causal Inference, and Social Science provides detailed discussions, critiques, and educational content on statistical modeling, causal inference, and social science research, including methodological explanations (e.g., MRPW) and post-publication review of high-profile studies.

{"Researchers and students in statistics, economics, political science, sociology and related fields","Data scientists and policy analysts","Academics seeking methodological critique and education"}

Long-form, evidence-based critique and teaching resource that blends Bayesian statistics, social science, and real-world data analysis with post-publication discussion and critical evaluation of published research.

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