Causal Inference

Rosenbaum, Paul R.

ISBN 10: 0262545195 / ISBN 13: 9780262545198

Editore: Mit Pr, 2023

203 pages. 7.00x5.00x0.75 inches. In Stock. Codice articolo 0262545195

Riassunto:

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.

Informazioni sull'autore: Paul R. Rosenbaum is the Robert G. Putzel Professor Emeritus of Statistics and Data Science at the Wharton School of the University of Pennsylvania. He is the author of Observation and Experiment: An Introduction to Causal Inference, Design of Observational Studies, Observational Studies, and Replication and Evidence Factors in Observational Studies.

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Titolo: Causal Inference
Casa editrice: Mit Pr
Data di pubblicazione: 2023
Legatura: Paperback
Condizione: Brand New