...
首页> 外文期刊>International journal of computer science and network security >Markov Chain Monte Carlo ? Based Approaches for Modeling the Spatial Survival with Conditional Autoregressive (CAR) Frailty
【24h】

Markov Chain Monte Carlo ? Based Approaches for Modeling the Spatial Survival with Conditional Autoregressive (CAR) Frailty

机译:Markov Chain蒙特卡洛?基于条件的自回归(CAR)脆弱性空间生存模型的方法

获取原文

摘要

Survival Model is widely used in medical field and biostatistics. This model can be used to identify the risk factors of an event and can handle the situation when risk factors change with time. Timing of an event frequently depends on the location (spati
机译:生存模型已广泛用于医学领域和生物统计学。此模型可用于识别事件的风险因素,并可以处理风险因素随时间变化的情况。事件的时间通常取决于位置(

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号