方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 簇生存数据共享脆弱性模型× | 对生存曲线进行比较的 Log-Rank 检验× | |
|---|---|---|
| 领域 | 生存分析 | 生存分析 |
| 方法族 | Survival analysis | Survival analysis |
| 起源年份≠ | 1979 | 1966 |
| 提出者≠ | Vaupel, J.W., Manton, K.G. & Stallard, E. | Mantel, N. |
| 类型≠ | Random effects survival model | Non-parametric hypothesis test |
| 开创性文献≠ | Vaupel, J.W., Manton, K.G. & Stallard, E. (1979). The Impact of Heterogeneity in Individual Frailty on the Dynamics of Mortality. Demography, 16(3), 439–454. DOI ↗ | Mantel, N. (1966). Evaluation of Survival Data and Two New Rank Order Statistics Arising in Its Consideration. Cancer Chemotherapy Reports, 50(3), 163–170. link ↗ |
| 别名≠ | shared frailty model, random effects survival model, Frailty Modeli (Paylaşılan Kırılganlık) | Mantel log-rank test, Mantel-Cox test, log-rank sağkalım testi, Log-Rank Testi |
| 相关≠ | 3 | 2 |
| 摘要≠ | The shared frailty model, introduced by Vaupel, Manton, and Stallard in 1979, extends standard survival regression by incorporating a random effect — the 'frailty' — that captures unobserved heterogeneity among subjects or clusters. When survival outcomes are measured on individuals who share a common environment (patients in the same hospital, members of the same family, animals in the same litter), a frailty term accounts for the within-cluster dependence that ordinary Cox regression ignores. | The log-rank test, developed by Nathan Mantel in 1966, is a non-parametric hypothesis test that compares the overall survival experience of two or more groups throughout the entire follow-up period. It is the standard companion to Kaplan-Meier curves and determines whether observed differences between curves are statistically meaningful. |
| ScholarGate数据集 ↗ |
|
|