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Updated: Sep 15, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
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Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

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用适应性随机化对生存结果的组序列设计

Yaxian Chen1, Yeonhee Park2

  • 1Department of Statistics and Actuarial Science, The University of Hong Kong, China.

Statistical methods in medical research
|July 17, 2025
PubMed
概括

这项研究引入了一种灵活的新的Covariate-Adjusted Response-Adaptive Randomization (CARA) 方法,用于生存结果,提高临床试验效率和以患者为中心的护理. 卡拉斯的设计提高了统计的严格性,同时降低了与模型错误规范相关的风险.

关键词:
考克斯模型 考克斯模型在日志级别测试试验中.最佳的分配比率是最佳的分配比率.重量重叠重量重叠重量重叠重量重叠重量重叠重量重叠重量重叠重量重叠重量重叠重量重叠重量重叠重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重重生存结果的结果.

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