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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 clustere

Authors: Sui He Fen Wang Liuquan 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 establishedThis research was supported by International Cooperation Projects 2010DFA31790 of Chinese Ministry of Science and Technology and the fund of Central China Normal University for PhD 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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