Application of Conditional Frailty Model for Epileptic Seizures and Implement

摘要：

Objective To explore the applications of conditional frailty models in recurrent event data about epileptic seizures and software implement. Methods Collecting the epileptic seizures data establishing the conditional frailty models,Parameters of the estimate are calculated by penalized partial likehood function, and comparing with shared frailty models and Cox proportional hazard models. Results The conditional frailty models best account for the heterogeneity and event dependence,We can evaluate the clinical effect of epileptic seizures data using conditional frailty models, the explain is reasonable,the implement of software is easy. Conclusion Conditional frailty models are useful for analyzing recurrent events data, it deserves be widely applied.

关键词： Conditional frailty models Penalized partial likehood Epileptic seizures recurrent event data

作者: Luo Tiane Zhao Jinfang Liu Chengfang Liu Guifen

作者单位: Department of health statistics,Shanxi Medical University(030001),Taiyuan

会议类型: 国际会议

会议名称: Second Joint Biostatistics Symposium(第二届生物统计国际研讨会2012)

会议地点: 北京

会议语种:英文

页码: 165-172

在线出版日期: 2012-07-08（万方平台首次上网日期，不代表论文的发表时间）