Causal Inference
MIT Press Essential Knowledge Series
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Narrated by:
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Chris Monteiro
About this listen
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.
©2023 Massachusetts Institute of Technology (P)2023 Ascent AudioListeners also enjoyed...
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everyone should read this book to understand
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Well researched
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So many words, so little insight
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Doing Harm
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Editor of the award-winning site Feministing.com, Maya Dusenbery brings together scientific and sociological research, interviews with experts within and outside the medical establishment, and personal stories from women across the country to provide the first comprehensive, accessible look at how sexism in medicine harms women today.
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One of the most important books ever written
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What listeners say about Causal Inference
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- Anonymous User
- 08-01-24
Not appropriate for audible and the reader don’t know how to read math
The math is read poorly. I keep hearing capital T, lowercase r. Very hard to understand.
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