Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Байесовская регрессия Кокса× | Модель с избыточными нулями (Zero-Inflated Model)× | |
|---|---|---|
| Область | Статистика | Статистика |
| Семейство | Regression model | Regression model |
| Год появления≠ | 1972 (Cox PH); 2001 (Bayesian treatment) | 1992 |
| Автор метода≠ | Cox (1972) for the base model; Bayesian formulation by Sinha, Chen & Ghosh (1990s); comprehensive treatment by Ibrahim, Chen & Sinha (2001) | Diane Lambert |
| Тип≠ | Survival regression | Count regression with excess zeros |
| Основополагающий источник≠ | Ibrahim, J. G., Chen, M.-H., & Sinha, D. (2001). Bayesian Survival Analysis. Springer. ISBN: 978-0387952772 | Lambert, D. (1992). Zero-inflated Poisson regression, with an application to defects in manufacturing. Technometrics, 34(1), 1–14. DOI ↗ |
| Другие названия | Bayesian Cox PH model, Bayesian proportional hazards model, Bayesian survival regression, BCox | ZIP model, ZINB model, zero-inflated Poisson, zero-inflated negative binomial |
| Связанные | 6 | 6 |
| Сводка≠ | Bayesian Cox regression combines the Cox proportional hazards model for time-to-event data with Bayesian inference. Instead of point estimates, it produces full posterior distributions over the hazard ratios, naturally incorporating prior knowledge and providing coherent uncertainty quantification even with small samples or informative censoring. | A zero-inflated model is a two-component mixture regression designed for count outcomes that contain more zero values than a standard Poisson or negative binomial distribution can accommodate. One component is a binary process that generates structural zeros; the other is a count process that generates both zeros and positive counts. |
| ScholarGateНабор данных ↗ |
|
|