Proportional Hazards Models and Survival Analysis Regression
Автор: Ismaila Adeleke
Загружено: 2026-02-25
Просмотров: 0
Описание: This video explains proportional hazards models, which are statistical tools used to analyze how different characteristics, known as covariates, influence the mortality or failure rates of individuals over time. The text distinguishes between fully parametric models, which assume a specific mathematical shape for the hazard function like the Weibull or Gompertz distributions, and the Cox model, a popular semi-parametric approach. A defining feature of the Cox model is its ability to estimate the impact of factors such as age or medical history without requiring a predetermined shape for the baseline hazard.
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