Regression parameter estimation from panel counts
Regression parameter estimation from panel counts
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DOI：
10.1111/1467-9469.00316
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发表时间：
2003-03-01
影响因子：
1
通讯作者：
Wei, LJ
中科院分区：
文献类型：
--
作者：
Hu, XJ;Sun, JG;Wei, LJ
本文考虑了一项研究，其中每例受试者可能经历多次事件，并且事件发生率是主要关注点。具体而言，我们关注的情况是，对于每例受试者，仅记录了研究期间有限时间点事件发生的累积计数。观察时间组可能因受试者而异，组间也不同。我们半参数化地对事件发生次数随时间的平均值进行建模，并估计回归参数。建议的估计程序与膀胱癌研究的数据（Byar，1980）。估计量的渐近性和模拟研究。
This paper considers a study where each subject may experience multiple occurrences of an event and the rate of the event occurrences is of primary interest. Specifically, we are concerned with the situations where, for each subject, there are only records of the accumulated counts for the event occurrences at a finite number of time points over the study period. Sets of observation times may vary from subject to subject and differ between groups. We model the mean of the event occurrence number over time semiparametrically, and estimate the regression parameter. The proposed estimation procedures are illustrated with data from a bladder cancer study (Byar, 1980). Both asymptotics and simulation studies on the estimators are presented.