Covariate association eliminating weights: a unified weighting framework for causal effect estimation
Sign Up to like & getrecommendations! Published in 2018 at "Biometrika"
DOI: 10.1093/biomet/asy015
Abstract: Summary Weighting methods offer an approach to estimating causal treatment effects in observational studies. However, if weights are estimated by maximum likelihood, misspecification of the treatment assignment model can lead to weighted estimators with substantial… read more here.
Keywords: estimation; assignment model; framework; treatment ... See more keywords
Propensity scores with misclassified treatment assignment: a likelihoodâbased adjustment
Sign Up to like & getrecommendations! Published in 2017 at "Biostatistics"
DOI: 10.1093/biostatistics/kxx014
Abstract: Summary Propensity score methods are widely used in comparative effectiveness research using claims data. In this context, the inaccuracy of procedural or billing codes in claims data frequently misclassifies patients into treatment groups, that is,… read more here.
Keywords: treatment assignment; treatment; propensity; propensity score ... See more keywords
Mechanisms of Perceived Treatment Assignment and Subsequent Expectancy Effects in a Double Blind Placebo Controlled RCT of Major Depression
Sign Up to like & getrecommendations! Published in 2018 at "Frontiers in Psychiatry"
DOI: 10.3389/fpsyt.2018.00424
Abstract: Objective: It has been suggested that patients' perception of treatment assignment might serve to bias results of double blind randomized controlled trials (RCT). Most previous evidence on the effects of patients' perceptions and the mechanisms… read more here.
Keywords: depression; treatment; perceived treatment; treatment assignment ... See more keywords
Optimal treatment assignment of multiple treatments with analysis of variance decomposition
Sign Up to like & getrecommendations! Published in 2019 at "Statistics and Its Interface"
DOI: 10.4310/18-sii545
Abstract: Personalized medicine to identify individualized treatment assignment rules has received increasing interest. When there are more than two treatments, the outcome weighted learning framework builds an optimal assignment rule via the skill of reproducing kernel… read more here.
Keywords: treatment; analysis variance; optimal treatment; treatment assignment ... See more keywords