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Causal Inference

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Causal Inference

Yazan: Paul r. Rosenbaum
Seslendiren: Chris Monteiro
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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 Audio Data Science Mathematics Vergilendirme Sağlık Tıp
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zits really bad I couldn't listen to it more than 20 min, the speaker is reading all of the symbols literally.. it's impossible to understand, refund please

a robot must have read this

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Parts of this book were enjoyable and there were some helpful analogies. However it descends often into streams of spoken algebra… Imagine listening to a stream of audio that is a string of “lower case c, sub capital y, upper case x, sub capital a, capital k, sub capital j….” Etc. etc. It doesn’t work. Instead there should be an accompanying pdf that presents these equations visually. This review only relates to the audio version - I imagine it may work as a book.

Doesn’t work as an audiobook

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