Description

Book Synopsis
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.

Causal Inference The MIT Press Essential

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    Order before 4pm tomorrow for delivery by Wed 17 Jun 2026.

    A Paperback by Paul R. Rosenbaum

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      View other formats and editions of Causal Inference The MIT Press Essential by Paul R. Rosenbaum

      Publisher: MIT Press
      Publication Date: 4/4/2023 12:00:00 AM
      ISBN13: 9780262545198, 978-0262545198
      ISBN10: 0262545195
      Also in:
      Mathematics

      Description

      Book Synopsis
      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.

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