Propensity score modelling in observational studies using dimension reduction methods

DOI10.1016/J.SPL.2011.03.002zbMath1218.62047OpenAlexW1977090890WikidataQ34997190 ScholiaQ34997190MaRDI QIDQ544635

Debashis Ghosh

Publication date: 15 June 2011

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3099445

zbMATH Keywords

matchingmodel misspecificationpotential outcomesobservational dataaverage causal effect

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Medical applications (general) (92C50) Nonparametric inference (62G99)

Related Items (1)

Nonlinear predictive directions in clinical trials

Cites Work

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• Dimension reduction in regression without matrix inversion
• Partial inverse regression
• Full Matching in an Observational Study of Coaching for the SAT
• Observational studies.

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