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在膀癌患者中非混合疗法模型估计:一种新的方法,使用指数化韦布尔指数分布
Mohamed Elamin Omer1,2, Mohd Mustafa2, Norhaslinda Ali2
1Department of Mathematics, College of Science, Sudan University of Science and Technology, Khartoum, Sudan.
Asian Pacific journal of cancer prevention : APJCP
|December 29, 2023
概括
指数指数 (EE) 分布最好的模型是未治愈的膀癌患者的生存时间. 这种疗法模型分析有助于了解患者生存时间.
科学领域:
- 生物统计学 生物统计学
- 生存分析的分析.
- 癌症研究 癌症研究
背景情况:
- 在生存分析中,当一部分患者被认为已治愈时,治愈模型至关重要.
- 非混合治愈模型是分析使用治愈分数的生存数据的首选.
- 选择适当的分布对于准确建模未治愈个体的生存时间至关重要.
研究的目的:
- 确定最合适的分布,以建模未治愈的膀癌患者的生存时间.
- 为了比较各种非混合治愈模型,包括基于指数化韦布尔指数分布 (EWE) 和其子分布以及不同的分布的模型.
- 评估EWE家族以外的分布,以评估它们与患者存活率数据的适应性.
主要方法:
- 在R软件 (3.5.7版本) 中使用了最大概率估计,以适应非混合治愈模型.
- 分析了85名患有表面膀瘤的患者的数据,包括治愈率,审查数据和共变量.
- 使用AIC,BIC和HQIC比较带有和没有治愈分数和预测因子的参数模型,以评估分布适合性.
主要成果:
- 指数指数 (EE) 分布显示了Akaike信息标准 (AIC),贝叶斯信息标准 (BIC) 和Hannan-Quinn信息标准 (HQIC) 的最低值.
- 在所有考虑的分布中,EE分布为建模生存时间提供了最合适的分布.
- 在一个非混合治愈模型中,与共变量,安慰剂和西奥特帕组之间的估计治愈概率比为0.76130 (95% CI:0.13914,6.81863).
结论:
- 指数指数 (EE) 分布是模拟膀癌患者的生存持续时间的最佳选择.
- 该研究成功地确定了在这个患者队列中最适合生存时间分析的分布.
- 这些发现支持使用EE分布在治疗模式中用于膀癌存活率数据.
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