Föreläsningar och seminarier ARC-seminarium med Nurgul Batyrbekova: "Survival analysis - Issues of times scales and censoring"

"Modelling multiple time-scale with flexible parametric survival models"

Föreläsare

Nurgul Batyrbekova, Karolinska Institutet, Institutionen för medicinsk epidemiologi och biostatistik

Abstract

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