Сравнение на методи
Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Анализ на мощността за проучвания на преживяемостта× | Тест на логаритмичните рангове за сравнение на криви на преживяемост× | |
|---|---|---|
| Област≠ | Статистика | Анализ на преживяемостта |
| Семейство≠ | Hypothesis test | Survival analysis |
| Година на възникване≠ | 1981 | 1966 |
| Създател≠ | — | Mantel, N. |
| Тип≠ | Sample size determination for survival outcomes | Non-parametric hypothesis test |
| Основополагащ източник≠ | Schoenfeld, D. A. (1981). The asymptotic properties of nonparametric tests for comparing survival distributions. Biometrika, 68(1), 316–319. 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 ↗ |
| Други названия | log-rank power analysis, cox regression power analysis, survival power analysis, Sağkalım Analizi Güç Analizi | Mantel log-rank test, Mantel-Cox test, log-rank sağkalım testi, Log-Rank Testi |
| Свързани≠ | 6 | 2 |
| Резюме≠ | Power analysis for survival studies determines how many participants — and how many observed events — are required so that a log-rank test or Cox regression has a sufficient probability of detecting a clinically meaningful difference in survival between groups. The foundational formulas were derived by Schoenfeld (1981) and Lachin (1981) and remain the standard approach in clinical trial planning. | 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. |
| ScholarGateНабор от данни ↗ |
|
|