Regression analysis of panel count data with dependent observation times
Regression analysis of panel count data with dependent observation times
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DOI：
10.1111/j.1541-0420.2007.00808.x
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发表时间：
2007-12-01
期刊：
影响因子：
1.9
通讯作者：
He, Xin
中科院分区：
文献类型：
--
作者：
Sun, Jianguo;Tong, Xingwei;He, Xin
队列计数数据经常出现在关注复发事件发生率的长期研究中。方法已被提出的面板计数数据的回归分析，但大多数现有的研究集中在观察时间是独立的纵向响应变量的情况下，因此依赖于条件推理程序给定的观察时间。本文考虑了独立性假设可能不成立的另一种情况。也就是说，观测时间和响应变量可以是相关的。对于推断，估计方程的方法，提出了回归参数的估计和大样本和有限样本性质的建议估计建立。提供了来自癌症研究的说明性示例。
Panel count data often occur in long-term studies that concern occurrence rate of a recurrent event. Methods have been proposed for regression analysis of panel count data, but most of the existing research focuses on situations where observation times are independent of longitudinal response variables and therefore rely on conditional inference procedures given the observation times. This article considers a different situation where the independence assumption may not hold. That is, the observation times and the response variable may be correlated. For inference, estimating equation approaches are proposed for estimation of regression parameters and both large and finite sample properties of the proposed estimates are established. An illustrative example from a cancer study is provided.