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Published in 2024 at "Statistics in Medicine"
DOI: 10.1002/sim.10039
Abstract: Prior work in causal inference has shown that using survey sampling weights in the propensity score estimation stage and the outcome model stage for binary treatments can result in a more robust estimator of the…
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Keywords:
survey;
generalized propensity;
estimation;
survey attrition ... See more keywords
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Published in 2018 at "Statistics in Medicine"
DOI: 10.1002/sim.7615
Abstract: Propensity score methods are increasingly being used to estimate the effects of treatments and exposures when using observational data. The propensity score was initially developed for use with binary exposures. The generalized propensity score (GPS)…
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Keywords:
continuous exposures;
generalized propensity;
effect;
propensity score ... See more keywords
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Published in 2022 at "Journal of Biopharmaceutical Statistics"
DOI: 10.1080/10543406.2022.2065507
Abstract: ABSTRACT Conducting causal inference in settings with more than one treatment level can be challenging. Classical methods, such as propensity score matching (PSM), are restricted to only a binary treatment. To extend propensity score methods…
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Keywords:
propensity score;
treatment;
score matching;
generalized propensity ... See more keywords