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Title of Journal: Acta Math. Appl. Sin. Engl. Ser.

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Abbravation: Acta Mathematicae Applicatae Sinica, English Series

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Springer-Verlag

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10.1007/s12415-012-0017-8

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1618-3932

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A semiparametric additive rates model for clustered recurrent event data

Authors: Sui He, Fen Wang, Liu-quan Sun,

Publish Date: 2011/06/15
Volume: 29, Issue:1, Pages: 55-62
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Abstract

Recurrent event data often arises in biomedical studies, and individuals within a cluster might not be independent. We propose a semiparametric additive rates model for clustered recurrent event data, wherein the covariates are assumed to add to the unspecified baseline rate. For the inference on the model parameters, estimating equation approaches are developed, and both large and finite sample properties of the proposed estimators are established.This research was supported by International Cooperation Projects (2010DFA31790) of Chinese Ministry of Science and Technology and the fund of Central China Normal University for Ph.D students (No. 2009023). The third author’s research was partly supported by the National Natural Science Foundation of China Grants (No. 10731010, 10971015 and 11021161), the National Basic Research Program of China (973 Program) (No. 2007CB814902) and Key Laboratory of Random Complex Structures and Data Science, Academy of Mathematics & Systems Science, Chinese Academy of Sciences (No. 2008DP173182).


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