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。
| 对生存曲线进行比较的 Log-Rank 检验× | 威布尔参数生存回归× | |
|---|---|---|
| 领域 | 生存分析 | 生存分析 |
| 方法族 | Survival analysis | Survival analysis |
| 起源年份≠ | 1966 | 1951 |
| 提出者≠ | Mantel, N. | Waloddi Weibull |
| 类型≠ | Non-parametric hypothesis test | Fully parametric survival regression model |
| 开创性文献≠ | 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 ↗ | Kalbfleisch, J. D. & Prentice, R. L. (2002). The Statistical Analysis of Failure Time Data (2nd ed.). Wiley. DOI ↗ |
| 别名 | Mantel log-rank test, Mantel-Cox test, log-rank sağkalım testi, Log-Rank Testi | weibull aft model, weibull survival model, parametric survival regression, Weibull Regresyonu — Parametrik Hayatta Kalma |
| 相关≠ | 2 | 4 |
| 摘要≠ | 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. | Weibull regression is a fully parametric survival model, formalised by Kalbfleisch and Prentice, that assumes survival times follow a Weibull distribution. A shape parameter controls whether the hazard increases, decreases, or remains constant over time, while covariates shift the scale of the distribution to express how predictors affect survival. |
| ScholarGate数据集 ↗ |
|
|