{"product_id":"causal-inference-isbn-9780262545198","title":"Causal Inference","description":"\u003cb\u003eA nontechnical guide to the basic ideas of modern causal inference, with illustrations from health, the economy, and public policy.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eWhich 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?\u003cbr\u003e \u003cbr\u003e\u003ci\u003eCausal Inference\u003c\/i\u003e 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.Series Foreword ix\u003cbr\u003eList of Examples xi\u003cbr\u003eList of Methodological Topics xiii\u003cbr\u003e1 The Effects Caused by Treatments 1\u003cbr\u003e2 Randomized Experiments 21\u003cbr\u003e3 Observational Studies: The Problem 47\u003cbr\u003e4 Adjustments for Measured Covariates 67\u003cbr\u003e5 Sensitivity to Unmeasured Covariates 85\u003cbr\u003e6 Quasi-Experimental Devices in the Design of Observational Studies 103\u003cbr\u003e7 Natural Experiments, Discontinuities, and Instruments 117\u003cbr\u003e8 Replication, Resolution, and Evidence Factors 149\u003cbr\u003e9 Uncertainty and Complexity in Causal Inference 159\u003cbr\u003ePostscript: Key Ideas, Chapter by Chapter 175\u003cbr\u003eGlossary 179\u003cbr\u003eNotes 181\u003cbr\u003eBibliography 189\u003cbr\u003eFurther Reading 197\u003cbr\u003eIndex 199Paul 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 \u003ci\u003eObservation and Experiment: An Introduction to Causal Inference\u003c\/i\u003e, \u003ci\u003eDesign of Observational Studies\u003c\/i\u003e, \u003ci\u003eObservational Studies\u003c\/i\u003e, and \u003ci\u003eReplication and Evidence Factors in Observational Studies\u003c\/i\u003e.","brand":"The MIT Press","offers":[{"title":"Default Title","offer_id":46303961579749,"sku":"NP9780262545198","price":16.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780262545198.jpg?v=1767723504","url":"https:\/\/k12savings.com\/products\/causal-inference-isbn-9780262545198","provider":"K12savings","version":"1.0","type":"link"}