The Data Analyst's Guide to Cause and Effect: An Introduction to Causal Inference in Practice (Paperback) (ISBN-13: 9798348848712)

Vendor: Theiss Bendixen
Product type: Books
Format: Paperback
$55.00
$55.00
$55.00
Subtotal: $55.00
WR Book House

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

$55.00

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

$55.00
Format: Paperback
Description
Description
x

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.

With hands-on examples in R, code snippets, and simulation exercises, this guide balances rigor with accessibility. Ideal for graduate courses and applied researchers, it equips readers to move beyond simple associations and make credible causal inferences that inform theory, policy, and practice.



Author: Theiss Bendixen,Benjamin Grant Purzycki
ISBN-13: 9798348848712
Publisher: Sage Publications, Inc.
Language: English
Published: 05/08/2026
Pages: 168
Format: Paperback
Weight: 0.44lbs
Size: 8.50h x 5.50w x 0.36d
By Theiss Bendixen
By Theiss Bendixen
x

Theiss Bendixen is a PhD, quantitative consultant, and independent researcher. To date, he has written two popular science books, a co-edited
volume, as well as more than 40 academic works, including tutorials, quantitative empirical papers, and technical commentaries. He consults on statistical modelling in both industry, academia, and non-profits, applying causal inference techniques across scientific disciplines. He currently works in the pharmaceutical sector.
Personal website: www.theissbendixen.com

Benjamin Grant Purzycki is Associate Professor at Aarhus University. He is a cognitive and evolutionary cultural anthropologist and focuses on the causal role of various demographic and cultural factors on human cooperation. He has conducted fieldwork in the Tyva Republic (Russia) and managed large, cross-cultural projects. His most recent books include The Minds of Gods: New Horizons in the Naturalistic Study of Religion (Bloomsbury), Ethnographic Free-List Data (Sage), and Morality and the Gods (Cambridge University Press).
Personal website: www.bgpurzycki.wordpress.com

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