Conditional GEE for recurrent event gap times.

Conditional GEE for recurrent event gap times.
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用于重复事件间隙时间的条件 GEE。

DOI:
10.1093/biostatistics/kxp004
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发表时间:
2009
期刊:
Biostatistics (Oxford, England)
影响因子:
--
通讯作者:
Strawderman,RobertL
Strawderman,RobertL
中科院分区:
--
文献类型:
--
作者:
Clement,DavidY;Strawderman,RobertL

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This paper deals with the analysis of recurrent event data subject to censored observation. Using a suitable adaptation of generalized estimating equations for longitudinal data, we propose a straightforward methodology for estimating the parameters indexing the conditional means and variances of the process interevent (i.e. gap) times. The proposed methodology permits the use of both time-fixed and time-varying covariates, as well as transformations of the gap times, creating a flexible and useful class of methods for analyzing gap-time data. Censoring is dealt with by imposing a parametric assumption on the censored gap times, and extensive simulation results demonstrate the relative robustness of parameter estimates even when this parametric assumption is incorrect. A suitable large-sample theory is developed. Finally, we use our methods to analyze data from a randomized trial of asthma prevention in young children.
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