中文摘要：

目的探讨条件脆弱模型在癫痫复发事件数据中的应用及软件实现。方法利用癫痫复发数据构建条件脆弱模型，采用惩罚偏似然函数进行参数估计、并与共享脆弱模型和Cox比例风险回归模型进行对比分析。结果条件脆弱模型分析复发数据既考虑复发时间的非独立性也考虑了异质性问题，可以用来评价癫痫复发临床疗效，结果解释合理，软件容易实现。结论条件脆弱模型可以较好分析复发数据，值得推广应用。

英文摘要：

Objective To explore the applications of condi- tional frailty models in recurrent event data about epileptic seizures and software implement. Methods Collecting the epileptic seizures data, es- tablishing the conditional frailty models, parameters of the estimate are cal-culated by penalized partal likehood function, and comparing with shared frailty models and Cox p ：oportional hazard models. Results The condi- tional frailty models are best account for the heterogeneity and event de- pendence, we can evaluate the clinical effect of epileptic seizures data using conditional frailty model , the explain is reasonable, the implement of soft- ware is easy. Conclusion Conditional frailty models are useful for ana- lyzing recurrent events ata,it deserves to be widely applied.