Сравнение на методи
Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Анализ на мощността за проучвания на преживяемостта× | Регресионен модел на пропорционалните опасности на Кокс× | |
|---|---|---|
| Област≠ | Статистика | Епидемиология |
| Семейство≠ | Hypothesis test | Process / pipeline |
| Година на възникване≠ | 1981 | 1972 |
| Създател≠ | — | Sir David Roxbee Cox |
| Тип≠ | Sample size determination for survival outcomes | Semi-parametric regression model |
| Основополагащ източник≠ | Schoenfeld, D. A. (1981). The asymptotic properties of nonparametric tests for comparing survival distributions. Biometrika, 68(1), 316–319. DOI ↗ | Cox, D. R. (1972). Regression models and life-tables. Journal of the Royal Statistical Society: Series B (Methodological), 34(2), 187–202. DOI ↗ |
| Други названия | log-rank power analysis, cox regression power analysis, survival power analysis, Sağkalım Analizi Güç Analizi | Cox regression, Cox PH model, proportional hazards model, CPH |
| Свързани≠ | 6 | 5 |
| 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 Cox proportional hazards model is a semi-parametric regression method that estimates the effect of one or more covariates on the hazard — the instantaneous rate of an event such as death, relapse, or failure — while making no assumption about the shape of the baseline hazard function. Introduced by David Cox in 1972, it is the dominant tool for multivariable survival analysis in clinical and epidemiological research. |
| ScholarGateНабор от данни ↗ |
|
|