Causal Inference (The MIT Press Essential Knowledge series)

Rosenbaum, Paul R.

ISBN 10: 0262545195 / ISBN 13: 9780262545198

Published by The MIT Press, 2023

About this Item

This book is in near-perfect condition, showing minimal signs of use. It has clean, crisp pages with no markings or highlighting, and the spine and cover are intact without any creases or wear. This book appears as if it has been barely touched and is virtually indistinguishable from a brand new book. Textbooks may not include supplemental items i.e. CDs, access codes etc.

Seller Inventory # SS02782

Bibliographic Details

• Title: Causal Inference (The MIT Press Essential Knowledge series)
• Publisher: The MIT Press
• Publication Date: 2023
• Language: English
• ISBN 10: 0262545195
• ISBN 13: 9780262545198
• Binding: paperback
• Condition: As New
• Weight: 6 ounces
• Seller catalogs:
  • Social Science

About this title

Synopsis

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.

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.