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• W2000202344 abstract "In this article we study a semiparametric generalized partially linear model when the covariates are missing at random. We propose combining local linear regression with the local quasilikelihood technique and weighted estimating equation (WEE) to estimate the parameters and nonparameters when the missing probability is known or unknown. We establish normality of the estimators of the parameter and asymptotic expansion for the estimators of the nonparametric part. We apply the proposed models and methods to a study of the relation between virologic and immunologic responses in AIDS clinical trials, in which virologic response is classified into binary variables. We also give simulation results to illustrate our approach." @default.
• W2000202344 created "2016-06-24" @default.
• W2000202344 creator A5085374974 @default.
• W2000202344 date "2008-05-01" @default.
• W2000202344 modified "2023-09-30" @default.
• W2000202344 title "Generalized partially linear models with missing covariates" @default.
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• W2000202344 doi "https://doi.org/10.1016/j.jmva.2007.05.004" @default.
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