Journal
JOURNAL OF MULTIVARIATE ANALYSIS
Volume 99, Issue 5, Pages 880-895Publisher
ELSEVIER INC
DOI: 10.1016/j.jmva.2007.05.004
Keywords
AIDS clinical trial; completely missing at random; local linear; local quasilikelihood; missing at random; nonignorable; penalized quasilikelihood; weighted estimating equation
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Funding
- NIAID NIH HHS [N01AI50020, R01 AI059773, R01 AI059773-02, R01 AI062247, R01 AI062247-02] Funding Source: Medline
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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 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. (C) 2007 Elsevier Inc. All rights reserved.
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