Automatic variable selection for exposure‐driven propensity score matching with unmeasured confounders
نویسندگان
چکیده
منابع مشابه
Variable selection for propensity score estimation via balancing covariates.
We first define some notation. Let Y denote the response of interest and X denote a p-dimensional vector of covariates. Let T denote a binary indicator of treatment exposure: T = 1 if treated, T = 0 if control. (Yi,Xi, Ti), i = 1, . . . , n, is a random sample from (Y,X, T ). We further define Y (1) as the potential outcome if the subject were treated and Y (0) as the potential outcome if the s...
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ژورنال
عنوان ژورنال: Biometrical Journal
سال: 2020
ISSN: 0323-3847,1521-4036
DOI: 10.1002/bimj.201800190