Bootstrap estimation of the standard error of treatment effect with double propensity score adjustment
نویسندگان
چکیده
منابع مشابه
Bootstrap Confidence Intervals for the Estimation of Average Treatment Effect on Propensity Score
Funded by collage st. innovative projects Received: January 21, 2011 Accepted: February 10, 2011 doi:10.5539/jmr.v3n3p52 Abstract Causal inferences on the average treatment effect in observational studies are always difficult problems because the distributions of samples in the two treatment groups can not be observed at the same time, and the estimation of the treatment effect is often biased....
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15 صفحه اولPropensity score adjustment with several followups
Abstract Propensity score weighting adjustment is commonly used to handle unit nonresponse. When the response mechanism is nonignorable in the sense that the response probability depends directly on the study variable, a followup sample is commonly used to obtain an unbiased estimator using the framework of two-phase sampling, where the follow-up sample is assumed to respond completely. In prac...
متن کاملPropensity score interval matching: using bootstrap confidence intervals for accommodating estimation errors of propensity scores
BACKGROUND Propensity score methods have become a popular tool for reducing selection bias in making causal inference from observational studies in medical research. Propensity score matching, a key component of propensity score methods, normally matches units based on the distance between point estimates of the propensity scores. The problem with this technique is that it is difficult to estab...
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ژورنال
عنوان ژورنال: Korean Journal of Applied Statistics
سال: 2017
ISSN: 1225-066X
DOI: 10.5351/kjas.2017.30.3.453