Construct and Estimate the Random Model about the Longtitudinal Data Under Competing Risks
返回论文页
|更新时间:2023-12-08
|
Construct and Estimate the Random Model about the Longtitudinal Data Under Competing Risks
Acta Scientiarum Naturalium Universitatis SunYatseniVol. 46, Issue 1, Pages: 7-10(2007)
作者机构:
中山大学岭南学院中山大学公共卫生学院 广东广州510275广东广州,510080
作者简介:
基金信息:
DOI:
CLC:
Published:2007,
Published Online:25 January 2007,
扫 描 看 全 文
Construct and Estimate the Random Model about the Longtitudinal Data Under Competing Risks. [J]. Acta Scientiarum Naturalium Universitatis SunYatseni 46(1):7-10(2007)
DOI:
Construct and Estimate the Random Model about the Longtitudinal Data Under Competing Risks. [J]. Acta Scientiarum Naturalium Universitatis SunYatseni 46(1):7-10(2007)DOI:
Construct and Estimate the Random Model about the Longtitudinal Data Under Competing Risks
摘要
为研究包含右删失的纵列生存数据
对每种风险建立一个COX比例危险模型
采用每种风险的危险率上都乘一个随机效应因子的方法
体现不同风险的危险率之间的联系
虽然这样做从通常的随机效应的边际似然估计方法来看是大大增加了难度
但更加符合实际。在模型估计上
采用等级似然估计方法
从而避免了求后验分布的积分运算
简化了估计过程。对竞争风险下比例危险的随机效应模型的等级似然函数
给出了推导和估计步骤。
Abstract
In order to study the multivariate survival data
a unique random variable is applied to multiply each competing hazard to reveal the relation of different causes
and COX Proportional Hazard model is assumed for each competing hazard.This looks more difficult of estimating intensively in traditional view
but it is more coincident with the actual facts.Using hierarchical likelihood approach
the multidimensional integral is avoided
and the hierarchical likelihood function and the process of estimating model are derived.