Сравнение на методи
Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Байесов анализ на преживяемостта× | Оценител на преживяемостта на Каплан-Майер× | |
|---|---|---|
| Област≠ | Бейсови методи | Анализ на преживяемостта |
| Семейство≠ | Bayesian methods | Survival analysis |
| Година на възникване≠ | 2001 | 1958 |
| Създател≠ | Ibrahim, Chen & Sinha | Kaplan, E. L. & Meier, P. |
| Тип≠ | Bayesian time-to-event model | Non-parametric survival estimator |
| Основополагащ източник≠ | Ibrahim, J.G., Chen, M.-H. & Sinha, D. (2001). Bayesian Survival Analysis. Springer. DOI ↗ | Kaplan, E. L. & Meier, P. (1958). Nonparametric Estimation from Incomplete Observations. Journal of the American Statistical Association, 53(282), 457–481. DOI ↗ |
| Други названия | bayesian sağkalım analizi, bayesian time-to-event analysis, bayesian hazard model | product-limit estimator, km curve, kaplan-meier sağkalım analizi |
| Свързани≠ | 4 | 2 |
| Резюме≠ | Bayesian survival analysis applies Bayesian inference to time-to-event models — Cox proportional hazards, parametric (Weibull, exponential), and cure models. Formalised comprehensively by Ibrahim, Chen and Sinha (2001), the approach encodes prior knowledge about hazard rates and regression coefficients, then updates it with censored survival data to yield posterior hazard ratios and credible intervals rather than single point estimates. | The Kaplan-Meier estimator, introduced by Kaplan and Meier in 1958, is a non-parametric method that estimates the survival curve — the probability of remaining event-free over time — from right-censored time-to-event data. The log-rank test is the companion procedure used to compare survival curves between groups. |
| ScholarGateНабор от данни ↗ |
|
|