ScholarGate
助手
Survival analysis

多状态生存模型

多状态模型是一种广义的生存分析框架,由Andersen和Keiding在其工作中形式化,并由Putter、Fiocco和Geskus(2007)引入到广泛的生物统计实践中。该模型模拟个体随时间推移在多个不同健康状态(例如,健康、患病和死亡)之间转换的过程。针对每种可能的转换,都会估计一个独立的风险函数,并通过累积转换强度的乘积积分来恢复转换概率。

在 MethodMind 中打开即将推出视频即将推出Download slides

阅读完整方法

仅限会员

使用免费账户登录即可阅读本节。

登录

Method map

The neighbourhood of related methods — select a node to explore.

来源

  1. Putter, H., Fiocco, M. & Geskus, R.B. (2007). Tutorial in Biostatistics: Competing Risks and Multi-State Models. Statistics in Medicine, 26(11), 2389–2430. DOI: 10.1002/sim.2712
  2. Jackson, C.H. (2011). Multi-State Models for Panel Data: The msm Package for R. Journal of Statistical Software, 38(8), 1–28. DOI: 10.18637/jss.v038.i08

如何引用本页

ScholarGate. (2026, June 1). Multi-State Survival Model. ScholarGate. https://scholargate.app/zh/survival/multi-state-model

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side

被引用于

ScholarGateMulti-State Model (Multi-State Survival Model). 于 2026-06-15 检索自 https://scholargate.app/zh/survival/multi-state-model · 数据集: https://doi.org/10.5281/zenodo.20539026