Causal Inference
14.00 JOD
Please allow 2 – 5 weeks for delivery of this item
Description
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.
Additional information
Weight | 0.93 kg |
---|---|
Dimensions | 1.58 × 12.7 × 17.78 cm |
PubliCanadation City/Country | USA |
by | |
Format | Paperback |
Language | |
Pages | 224 |
Publisher | |
Year Published | 2023-4-4 |
Imprint | |
ISBN 10 | 0262545195 |
About The Author | 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. |
Table Of Content | Series Foreword ixList of Examples xiList of Methodological Topics xiii1 The Effects Caused by Treatments 12 Randomized Experiments 213 Observational Studies: The Problem 474 Adjustments for Measured Covariates 675 Sensitivity to Unmeasured Covariates 856 Quasi-Experimental Devices in the Design of Observational Studies 1037 Natural Experiments, Discontinuities, and Instruments 1178 Replication, Resolution, and Evidence Factors 1499 Uncertainty and Complexity in Causal Inference 159Postscript: Key Ideas, Chapter by Chapter 175Glossary 179Notes 181Bibliography 189Further Reading 197Index 199 |
Series |
Only logged in customers who have purchased this product may leave a review.
Reviews
There are no reviews yet.