Noh Maengseok, Ha Il Do, Lee Youngjo
Department of Statistics, Seoul National University, Seoul 151-747, Korea.
Stat Med. 2006 Apr 30;25(8):1341-54. doi: 10.1002/sim.2284.
In medical research recurrent event times can be analysed using a frailty model in which the frailties for different individuals are independent and identically distributed. However, such a homogeneous assumption about frailties could sometimes be suspect. For modelling heterogeneity in frailties we describe dispersion frailty models arising from a new class of models, namely hierarchical generalized linear models. Using the kidney infection data we illustrate how to detect and model heterogeneity among frailties. Stratification of frailty models is also investigated.
在医学研究中，复发事件时间可以使用脆弱模型进行分析，其中不同个体的脆弱性是独立同分布的。然而，这种关于脆弱性的同质假设有时可能值得怀疑。为了对脆弱性的异质性进行建模，我们描述了一类新模型——分层广义线性模型产生的离散脆弱模型。利用肾脏感染数据，我们说明了如何检测脆弱性之间的异质性并对其进行建模。我们还研究了脆弱模型的分层。
