Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
The Data Analyst's Guide to Cause and Effect: An Introduction to Causal Inference in Practice

The Data Analyst's Guide to Cause and Effect: An Introduction to Causal Inference in Practice

Bendixen, Theiss
Purzycki, Benjamin Grant

Paperback

Series: Quantitative Applications in the Social Sciences - Qass, Book 201

Gifts & Stationery GeneralGeneral Sociology

ISBN13: 9798348848712
Publisher: Sage Publications, Inc.
Published: May 8 2026
Pages: 168
Weight: 0.44
Height: 0.36 Width: 5.50 Depth: 8.50
Language: English

Understanding cause-and-effect relationships is essential for credible research and informed decision-making. The Data Analyst's Guide to Cause and Effect offers a clear, practical roadmap for answering causal questions using both experimental and observational data.

Built around the EEESI workflow-Estimand, Estimator, Estimate, Simulation-based Inference-this book provides a systematic approach to defining, estimating, and validating causal effects. Readers will learn to apply modern techniques such as g-methods, inverse probability weighting, poststratification, and multilevel modeling, while tackling challenges like confounding and missing data.

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