Lectures and seminars ARC seminar with Nurgul Batyrbekova: "Modelling multiple time-scale with flexible parametric survival models"
We are happy to welcome Nurgul Batyrbekova, PhD student at the Department of Medical Epidemiology and Biostatistics, to our next ARC Seminar on Tuesday 14 March 2023 at 11:00. You can also join the seminar via Zoom.
"Modelling multiple time-scale with flexible parametric survival models"
Nurgul Batyrbekova, Karolinska Institutet, Department of Medical Epidemiology and Biostatistics
There are situations when we need to model data with multiple time-scales. We usually use Cox or Poisson models to model data with multiple time-scales. This would require fine-splitting of the data to ensure that the assumption of proportional hazards within given time-intervals holds. However, this is not optimal when the dataset is large and when the models become too complex to manage. Iacobelli and Carstensen (2013) have shown how to fit multiple time-scales using Poisson models within a multistate framework. The drawback with Poisson method, is that users are required to assume constant hazard rates within time-intervals. An alternative approach is to fit flexible parametric survival models when modelling data with multiple time-scales. This method does not require assumtion of constant hazard rates, splitting data into small time-intervals, and therefore saves time, helps avoid technological limitations and reduces room for error.