Causal Inference for Statistics, Social, and Biomedical Sciences (inbunden)
Fler böcker inom
Format
E-bok
Filformat
EPUB med LCP-kryptering (0.0 MB)
Om LCP-kryptering
Nedladdning
Kan laddas ned under 24 månader, dock max 6 gånger.
Språk
Engelska
Utgivningsdatum
2015-04-06
Förlag
Cambridge University Press
ISBN
9781316093818

Causal Inference for Statistics, Social, and Biomedical Sciences E-bok

An Introduction

av Guido W Imbens, Donald B Rubin
E-bok (LCP),  Engelska, 2015-04-06
815
Ladda ned
Spara som favorit
Läs i Bokus Reader för iOS och Android
Finns även som
Visa alla 2 format & utgåvor
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.
Visa hela texten

Kundrecensioner

Har du läst boken? Sätt ditt betyg »

Fler böcker av författarna

Du kanske gillar