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Updated: Jan 9, 2026

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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导出一个分析解决方案的反转的罗伊斯顿/帕马尔限制立方支线参数生存模型对离散事件模拟

George Bungey1, Jorgen Moller2, James Saunders3

  • 1Evidera, part of Thermo Fisher Scientific, Second Floor, The Ark, 201 Talgarth Road, London, W6 8BJ, UK. george.bungey@thermofisher.com.

PharmacoEconomics
|December 4, 2025
PubMed
概括

研究人员为罗伊斯顿/帕马尔限制立方线模型获得了分析解决方案,通过能够精确地估计事件时间,显著加快离散事件模拟 (DES). 微软Excel中的这种分析反转方法比数值近似方法快得多.

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