Dimension reduction in estimating equations with covariates missing at random
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DOI: 10.1080/10485252.2018.1438610
Abstract: ABSTRACT To estimate parameters defined by estimating equations with covariates missing at random, we consider three bias-corrected nonparametric approaches based on inverse probability weighting, regression and augmented inverse probability weighting. However, when the dimension of… read more here.
Keywords: dimension; dimension reduction; covariates missing; estimating equations ... See more keywords