000			01629 a2200241 4500
008			230615b |||||||| |||| 00| 0 eng d
020			_a9780262545198
082			_a001.42 _bROS
100			_aRosenbaum, Paul R.
245			_aCausal inference
260			_aCambridge, Massachusetts: _bThe MIT Press, _c2023.
300			_axiii, 203p. _bpbk: _c18cm.
440			_aThe MIT Press Essential Knowledge Series
504			_aIncludes bibliographical references and index.
520			_aA 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. https://mitpress.mit.edu/9780262545198/causal-inference/
650			_aCausation
650			_aScience--Experiments
650			_aObservation (Scientific method)
650			_aInference
650			_aProbabilities
650			_aMathematical statistics
942			_cTD _2ddc
999			_c58872 _d58872