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Updated: Jan 11, 2026

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在纵向二进制结果数据中依赖时间的过渡速率的潜伏分类

Joonha Chang1,2, Wenyaw Chan2

  • 1Department of Biostatistics and Data Science, Louisiana State University Health Sciences Center, School of Public Health, New Orleans, LA, USA.

Statistical methods in medical research
|November 13, 2025
PubMed
概括

本研究引入了非均的连续时间马尔科夫链 (NH-CTMCs),以建模随时间推移的动态健康过渡. 该方法识别了具有不同疾病进展率的不同患者亚组,改进了纵向数据分析.

关键词:
纵向的分类数据 纵向的分类数据连续时间的马尔科夫链.不同质的状态过渡.隐性类分析 隐性类分析时间依赖的过渡建模.

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