Regression modelRegression / GLM
Survival Regression
Survival regression models the time until an event occurs — such as death, failure, or relapse — as a function of covariates. Unlike ordinary regression, it properly accounts for censored observations (cases where the event had not yet occurred at the end of follow-up) by specifying a parametric distribution for the survival time and estimating covariate effects via maximum likelihood.
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Sources
- Kalbfleisch, J. D., & Prentice, R. L. (2002). The Statistical Analysis of Failure Time Data (2nd ed.). Wiley. ISBN: 978-0471363576
- Cox, D. R., & Oakes, D. (1984). Analysis of Survival Data. Chapman and Hall. ISBN: 978-0412244902