Bayesian propensity score analysis for observational data
نویسندگان
چکیده
منابع مشابه
Bayesian propensity score analysis for observational data.
In the analysis of observational data, stratifying patients on the estimated propensity scores reduces confounding from measured variables. Confidence intervals for the treatment effect are typically calculated without acknowledging uncertainty in the estimated propensity scores, and intuitively this may yield inferences, which are falsely precise. In this paper, we describe a Bayesian method t...
متن کاملBayesian Model Averaging for Propensity Score Analysis.
This article considers Bayesian model averaging as a means of addressing uncertainty in the selection of variables in the propensity score equation. We investigate an approximate Bayesian model averaging approach based on the model-averaged propensity score estimates produced by the R package BMA but that ignores uncertainty in the propensity score. We also provide a fully Bayesian model averag...
متن کاملPropensity score matching for surgical outcomes with observational data
PROPENSITY SCORE MATCHING FOR SURGICAL OUTCOMES WITH OBSERVATIONAL DATA Robert M. Cannon, 3/26/2012 Because of limitations in randomized controlled trials, medical researchers are often forced to rely upon studies of observational data. Confounding is a major difficulty encountered in such studies that can create considerable bias in estimates of treatment effects. Propensity score analysis was...
متن کاملPropensity score based data analysis
For some time, propensity score (PS) based methods have been frequently applied in the analysis of observational and registry data. The PS is the conditional probability of a certain treatment given patient’s covariates. PS methods are used to eliminate imbalances in baseline covariate distributions between treatment groups and permit to estimate marginal effects. The package nonrandom is a too...
متن کاملPropensity score based data analysis using nonrandom
For some time, propensity score based methods have been frequently applied in the analysis of data from observational studies. The propensity score is the conditional probability of a certain treatment or exposure given patient’s covariates. Propensity score methods are used to eliminate baseline imbalances in covariate distributions between treatment or exposure groups and permit to estimate m...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Statistics in Medicine
سال: 2008
ISSN: 0277-6715
DOI: 10.1002/sim.3460