Propensity Score Analysis With Latent Covariates: Measurement Error Bias Correction Using the Covariate’s Posterior Mean, aka the Inclusive Factor Score
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: Journal of Educational and Behavioral Statistics
سال: 2020
ISSN: 1076-9986,1935-1054
DOI: 10.3102/1076998620911920