Bayesiansk overlevelsesregression
Bayesiansk overlevelsesregression kombinerer parametriske eller semiparametriske overlevelsesmodeller — såsom Weibull, log-normal eller Cox proportional hazards — med Bayesiansk inferens. I stedet for punktestimater producerer den fulde posteriorfordelinger for regressionskoefficienter og baseline-hazard, håndterer naturligt censurerede observationer og inkorporerer forhåndsviden om tidspunkter for hændelser eller kovariateffekter.
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Method map
The neighbourhood of related methods — select a node to explore.
Kilder
- Ibrahim, J. G., Chen, M.-H., & Sinha, D. (2001). Bayesian Survival Analysis. Springer. ISBN: 978-0387952772
- Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013). Bayesian Data Analysis (3rd ed.). CRC Press. ISBN: 978-1439840955
Sådan citerer du denne side
ScholarGate. (2026, June 3). Bayesian Survival Regression. ScholarGate. https://scholargate.app/da/statistics/bayesian-survival-regression
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Bayesiansk Cox-regressionStatistik↔ compare
- Bayesiansk Generaliseret Lineær ModelStatistik↔ compare
- Bayesiansk mixed effects modelStatistik↔ compare
- Cox Proportional Hazards RegressionOverlevelsesanalyse↔ compare
- OverlevelsesregressionStatistik↔ compare
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