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Causal Inference
  • Published: 16 May 2023
  • ISBN: 9780262545198
  • Imprint: MIT Press
  • Format: Paperback
  • Pages: 224
  • RRP: $32.99

Causal Inference

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A nontechnical guide to the basic ideas of modern causal inference, with illustrations from health, the economy, and public policy.

A nontechnical guide to the basic ideas of modern causal inference, with illustrations from health, the economy, and public policy.

Which of two antiviral drugs does the most to save people infected with Ebola virus? Does a daily glass of wine prolong or shorten life? Does winning the lottery make you more or less likely to go bankrupt? How do you identify genes that cause disease? Do unions raise wages? Do some antibiotics have lethal side effects? Does the Earned Income Tax Credit help people enter the workforce?
 
Causal Inference provides a brief and nontechnical introduction to randomized experiments, propensity scores, natural experiments, instrumental variables, sensitivity analysis, and quasi-experimental devices. Ideas are illustrated with examples from medicine, epidemiology, economics and business, the social sciences, and public policy.
  • Published: 16 May 2023
  • ISBN: 9780262545198
  • Imprint: MIT Press
  • Format: Paperback
  • Pages: 224
  • RRP: $32.99
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Praise for Causal Inference

When, in 2019, Paul Rosenbaum received the R. A. Fisher award from the Committee of Presidents of Statistical Societies, the citation read: “For pioneering contributions to statistical methodology for observational studies, important applications of such methodology to health outcomes studies, lucid books on statistical principles and methodology for observational studies, and excellent mentoring.”

When, in 2019, Paul Rosenbaum received the R. A. Fisher award from the Committee of Presidents of Statistical Societies, the citation read: “For pioneering contributions to statistical methodology for observational studies, important applications of such methodology to health outcomes studies, lucid books on statistical principles and methodology for observational studies, and excellent mentoring.”