相关实验视频

Updated: Jan 11, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

10.7K

使用适合多个数据流的多态半马尔科夫模型评估间隔审查终点的治疗疗效

Raphaël Morsomme1, C Jason Liang1, Allyson Mateja2

  • 1Biostatistics Research Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health, 5601 Fishers Lane, Rockville, Maryland 20852, United States.

Biostatistics (Oxford, England)
|November 19, 2025
PubMed
概括

这项研究开发了一种使用半马尔科夫模型分析复杂生物医学数据的高效方法. REGEN-COV抗体治疗减少了无症状的SARS-CoV-2感染和病毒泄漏时间.

关键词:
蒙特卡洛预期最大化这就是SARS-CoV-2病毒.数据同化数据同化时间间隔审查审查.多国模式的多州模型.面板数据数据面板的数据这是一个半马尔科夫式的半马尔科夫式.斯普林斯,斯普林斯,斯普林斯,斯普林斯,斯普林斯,斯普林斯,斯普林斯,斯普林斯

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