Proportional Rate Model with Incomplete Covariate and Complete Auxiliary Information

Autor:	Luqin Liu, Yanyan Liu, Zhibin Xu
Rok vydání:	2015
Předmět:	Statistics and Probability Set (abstract data type) Recurrent event Statistics Covariate Estimator Sample (statistics) Estimating equations Regression Mathematics
Zdroj:	Communications in Statistics - Theory and Methods. 44:5285-5305
ISSN:	1532-415X 0361-0926
Popis:	This paper deals with the analysis of proportional rate model for recurrent event data when covariates are subject to missing. The true covariate is measured only on a randomly chosen validation set, whereas auxiliary information is available for all cohort subjects. To further utilize the auxiliary information to improve study efficiency, we propose an estimated estimating equation for the regression parameters. The resulting estimators are shown to be consistent and asymptotically normal. Both graphical and numerical techniques for checking the adequacy of the model are presented. Simulations are conducted to evaluate the finite sample performance of the proposed estimators. Illustration with a real medical study is provided.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::cc9a17bb0f69e9ef6be3d13f7f4f2d2c https://doi.org/10.1080/03610926.2013.815776 Zobrazit plný text záznamu