Non-parametric adjustment for covariates when estimating a treatment effect
نویسندگان
چکیده
منابع مشابه
Non-parametric adjustment for covariates when estimating a treatment effect
We consider a non-parametric model for estimating the effect of a binary treatment on an outcome variable while adjusting for an observed covariate. A naive procedure consists in performing two separate non-parametric regression of the response on the covariate: one with the treated individuals and the other with the untreated. The treatment effect is then obtained by taking the difference betw...
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s Robustness of covariate modeling for the missing covariate problem in parametric regression is studied under the MAR assumption. For a simple missing covariate pattern, non-parametric likelihood is proposed and is shown to yield a consistent and semiparametrically efficient estimator for the regression parameter. Total robustness is achieved in this situation. For more general missing covaria...
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ژورنال
عنوان ژورنال: Journal of Nonparametric Statistics
سال: 2006
ISSN: 1048-5252,1029-0311
DOI: 10.1080/10485250600720779