Causal Inference in Statistics, Social, and Biomedical Sciences

Imbens, Guido W.|Rubin, Donald B.

ISBN 10: 0521885884 / ISBN 13: 9780521885881

Editore: Cambridge University Press, 2015

Riguardo questo articolo

This text presents statistical methods for studying causal effects and discusses how readers can assess such effects in simple randomized experiments.Most questions in social and biomedical sciences are causal in nature: what would happen to individ.

Codice articolo 31757199

Dati bibliografici

• Titolo: Causal Inference in Statistics, Social, and Biomedical Sciences
• Editore: Cambridge University Press
• Data di pubblicazione: 2015
• Lingua: Inglese
• ISBN 10: 0521885884
• ISBN 13: 9780521885881
• Rilegatura: Rilegato
• Condizione: New

Descrizione articolo

Riassunto

This text presents statistical methods for studying causal effects and discusses how readers can assess such effects in simple randomized experiments.

Informazioni sugli autori

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 150,000 citations to date.