Graduate Seminar

Location:  CL 317

Speaker: Himansi Kumari

MSc Student supervised by James McVittie

Title:  Proportional Hazards Modelling for Current Lifetime Data

 Zoom Link:  https://uregina-ca.zoom.us/j/92053635111?pwd=U25NcEp6amlGV1YrRDdnUm5qNlhaUT09

Abstract:

Current lifetime data represent a unique subset of length-biased data where only the times from the initiating event to the cross-section date are observed without follow-up. We propose an efficient estimation procedure to fit the semi-parametric proportional hazards model using current lifetime data. This estimation procedure is based on the EM algorithm which has two versions based on the support points of the non-parametric baseline hazard function.

We apply the method to simulated data and Parkinson’s disease current lifetime data drawn from the Canadian-Open Parkinson Network (C-OPN). We estimate the effects of clinical and epidemiological covariates using the proportional hazards model on the survival of subjects with Parkinson’s disease.