对于生存模型的多维处罚线:净生存趋势分析的插图
Emmanuelle Dantony1,2,3,4, Zoé Uhry1,5, Mathieu Fauvernier1,2,3,4
1Service de Biostatistique-Bioinformatique, Pôle Santé Publique, Hospices Civils de Lyon, Lyon, France.
International journal of epidemiology
|March 18, 2024
概括
多维处罚线 (MPSs) 有效地模拟癌症生存趋势. 这种方法揭示了复杂的死亡率动态,为宫癌和结肠癌提供了关键的流行病学见解.
科学领域:
- 流行病学 流行病学
- 生物统计学 生物统计学
- 癌症研究 癌症研究
背景情况:
- 描述性流行病学显示出发病率和存活率分析之间的强烈平行.
- 多维处罚线 (MPSs) 在发病率分析中已经被证明是成功的.
- 本研究探讨了MPS对生存率和净生存率研究的适用性.
研究的目的:
- 为了证明MPSs适用于癌症流行病学中生存分析的适用性.
- 使用MPSs建模和分析生存趋势.
- 为净生存研究提供MPS应用的教学见解.
主要方法:
- 将MPS应用于来自法国癌症登记册 (1990-2015) 的子宫癌和结肠癌的生存数据.
- 基于诊断以来的时间,诊断时的年龄和诊断年龄,使用MPS模拟过度死亡风险动态.
- 使用R包survPen进行统计建模和分析.
主要成果:
- 宫癌:根据诊断年和年龄,死亡风险动态有所不同,导致年轻女性的净生存率提高,老年女性的生存率恶化.
- 结肠癌:在所有年龄段,随着诊断年数的增加,过度死亡率下降,主要影响早期随访.
- MPS捕捉到死亡率动态中的复杂趋势模式.
结论:
- MPS有效地描述了死亡风险动态及其与诊断年份等共变量的变化.
- 这种方法为解释癌症生存趋势提供了必要的流行病学见解.
- 该研究强调了MPS和survPen R包在癌症流行病学研究中的有用性.
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