Maximum entropy in the mean methods in propensity score matching for interval and noisy data

DOI10.1080/03610926.2018.1497656OpenAlexW2897225757MaRDI QIDQ5076918

German Molina, Laura H. Gunn, Enrique ter Horst, Henryk Gzyl, Miller Janny Ariza

Publication date: 17 May 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2018.1497656

zbMATH Keywords

observational studiesinterval datapropensity score matchingmaximum entropy in the meandata with bounded errors

Mathematics Subject Classification ID

Causal inference from observational studies (62D20)

Uses Software

• Matching
• MatchIt
• cem
• BLINPLUS
• relibpls8

Cites Work

• Unnamed Item
• Regressions with Berkson errors in covariates -- a nonparametric approach
• Matching methods for causal inference: a review and a look forward
• Application of the method of maximum entropy in the mean to classification problems
• The central role of the propensity score in observational studies for causal effects
• Additive Hazards Regression with Covariate Measurement Error
• Multivariate Matching Methods That Are Monotonic Imbalance Bounding
• Inverse probability weighting with error-prone covariates
• Covariate Balancing Propensity Score

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