Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction

Name: Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction
Brand: Cambridge University Press
SKU: 9780521885881
Price: 56.69 EUR
Availability: InStock

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English

By (author): Donald B. Rubin Guido W. Imbens

Most questions in social and biomedical sciences are causal in nature: what would happen to individuals, or to groups, if part of their environment were changed? In this groundbreaking text, two world-renowned experts present statistical methods for studying such questions. This book starts with the notion of potential outcomes, each corresponding to the outcome that would be realized if a subject were exposed to a particular treatment or regime. In this approach, causal effects are comparisons of such potential outcomes. The fundamental problem of causal inference is that we can only observe one of the potential outcomes for a particular subject. The authors discuss how randomized experiments allow us to assess causal effects and then turn to observational studies. They lay out the assumptions needed for causal inference and describe the leading analysis methods, including matching, propensity-score methods, and instrumental variables. Many detailed applications are included, with special focus on practical aspects for the empirical researcher. See more

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Product Details

Weight: 1280g
Dimensions: 185 x 261mm
Publication Date: 06 Apr 2015
Publisher: Cambridge University Press
Publication City/Country: United Kingdom
Language: English
ISBN13: 9780521885881

About Donald B. RubinGuido W. Imbens

Guido W. Imbens is Professor of Economics at the Graduate School of Business Stanford University. He has held tenured faculty positions at Harvard University the University of California Los Angeles the University of California Berkeley and Stanford University. He is a fellow of the Econometric Society and the American Academy of Arts and Sciences. Imbens has published widely in economics and statistics journals including Econometrica The American Economic Review the Annals of Statistics the Journal of the American Statistical Association Biometrika and the Journal of the Royal Statistical Society. Donald B. Rubin is John L. Loeb Professor of Statistics at Harvard University where he has been professor since 1983 and department chair for thirteen of those years. He has authored or coauthored nearly four hundred publications (including ten books) has four joint patents and has made important contributions to statistical theory and methodology particularly in causal inference design and analysis of experiments and sample surveys treatment of missing data and Bayesian data analysis. Rubin has received the Samuel S. Wilks Medal from the American Statistical Association the Parzen Prize for Statistical Innovation the Fisher Lectureship and the George W. Snedecor Award from the Committee of Presidents of Statistical Societies. He was named Statistician of the Year by the American Statistical Association Boston and Chicago chapters. He is one of the most highly cited authors in mathematics and economics with nearly 150000 citations to date.