Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Bayesovská analýza přežití× | Odhad Kaplan-Meierovy křivky přežití× | |
|---|---|---|
| Obor≠ | Bayesovská statistika | Analýza přežití |
| Rodina≠ | Bayesian methods | Survival analysis |
| Rok vzniku≠ | 2001 | 1958 |
| Tvůrce≠ | Ibrahim, Chen & Sinha | Kaplan, E. L. & Meier, P. |
| Typ≠ | Bayesian time-to-event model | Non-parametric survival estimator |
| Původní zdroj≠ | 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 ↗ |
| Další názvy | bayesian sağkalım analizi, bayesian time-to-event analysis, bayesian hazard model | product-limit estimator, km curve, kaplan-meier sağkalım analizi |
| Příbuzné≠ | 4 | 2 |
| Shrnutí≠ | 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. |
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