Estimation of parameters of logistic regression with covariates missing separately or simultaneously
Sign Up to like & getrecommendations! Published in 2021 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2021.1943443
Abstract: A joint conditional likelihood (JCL) method, which is a semiparametric approach, is proposed to estimate the parameters of a logistic regression model when two covariate vectors are missing separat... read more here.
Keywords: logistic regression; estimation parameters; parameters logistic; covariates missing ... See more keywords
Dimension reduction in estimating equations with covariates missing at random
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Nonparametric Statistics"
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