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基于SEER数据库的癌患者贝叶斯竞争风险分析
1Labour Market Research Facility, School of Management and Labour Studies, Tata Institute of Social Sciences, Mumbai, India.
Cancer epidemiology
|August 2, 2024
概括
医疗和社会经济因素显著影响细胞癌 (RCC) 的存活率. 使用贝叶斯推理的竞争风险模型揭示了RCC患者的关键生存决定因素,为改善结果提供了洞察力.
科学领域:
- 在瘤学瘤学.
- 生物统计学 生物统计学
- 公共卫生 公共卫生
背景情况:
- 细胞癌 (RCC) 是一个重要的全球健康挑战,生存率很低.
- 了解影响RCC患者生存的因素对于改善结果至关重要.
- 该研究使用了来自SEER计划 (2012-2020) 的41563名RCC患者的数据.
研究的目的:
- 研究医学决定因素和社会经济地位对细胞癌 (RCC) 患者存活率的影响.
- 使用与贝叶斯推理的竞争性风险模型分析生存数据.
- 确定影响RCC生存时间和特定原因死亡率的关键因素.
主要方法:
- 采用基于陈分布的竞争风险模型来分析RCC患者的生存率.
- 使用贝叶斯推理进行参数估计,包括累积发病率函数 (CIF) 和因果特异性危险.
- 进行贝叶斯假设测试,以评估多个因素对生存的影响.
主要成果:
- 性别,收入,婚姻状况,化疗,瘤大小和横向性显著影响了RCC患者的生存率.
- 种族和原产地对患者的生存率没有显著影响.
- CIF图片显示了与收入,婚姻状况,种族,化疗和瘤大小相关的死亡原因的区别.
结论:
- 医疗和社会经济因素对细胞癌 (RCC) 存活率产生重大影响.
- 在贝叶斯范式下的竞争风险模型为RCC生存分析提供了一个强大的方法.
- 这种方法有效地处理缺失的数据,提高其在现实世界的临床场景中的适用性.
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