The Data Analyst’s Guide to Cause and Effect
An Introduction to Causal Inference in Practice
AvTheiss Bendixen,Benjamin Grant Purzycki
Häftad, Engelska, 2027
Del 201 i serien Quantitative Applications in the Social Sciences
764 kr
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Beskrivning
The Data Analyst's Guide to Cause and Effect offers a clear, practical roadmap built around the EEESI workflow—Estimand, Estimator, Estimate, Simulation-based Inference. This book provides a systematic approach to defining, estimating, and validating causal effects, allowing readers to learn to apply modern techniques and move beyond simple associations to make credible causal inferences that inform theory, policy, and practice.