Specific consideration of delays in parametric time-to-event (survival) models
In survival analysis, events sometimes only start to occur after a certain delay since entry time and this delay period might vary for different treatments or groups. While parametric delay models like the three-parameter Weibull distribution might adequately describe this process the estimation of delay via standard maximum likelihood is severely biased in small samples. Some alternative estimation methods have been proposed like a bias-correction for maximum likelihood or the maximum product of spacings estimation method. In this project, we investigate the performance of these methods for parametric significance tests for delay in a two group setting. To this end, we develop the R-package incubate on CRAN that implements all discussed methods.
Involved scientists
- Dipl. Math. Matthias Kuhn
- Jonas Breidenstein (Medical doctoral student)
- Prof Dr Ingo Roeder
Publications
In preparation
Funding
IMB budget