Seminar by Benoit Liquet-Weiland - Accelerated failure time models under partly interval censoring and time-varying covariates

You are all invited to an exciting seminar at Biostats on Thursday, June 06 @ 15:15:

Speaker: Benoit Liquet-Weiland, School of Mathematical and Physical Sciences, Macquarie University, Australia

Title: "Accelerated failure time models under partly interval censoring and time-varying covariates"

Accelerated failure time (AFT) models are frequently used for modelling survival data. It is an appealing approach as it asserts a direct relationship between the time to event and covariates, wherein the failure times are either accelerated or decelerated by a multiplicative factor in the presence of these covariates.  several methods exist in the current literature for fitting semiparametric AFT models with time-fixed covariates. However, most of these methods do not easily extend to settings involving both time-varying covariates and partly interval censored data. We propose a maximum penalized likelihood approach to fit a semiparametric AFT model with both time-fixed and time-varying covariates, for survival data with partly interval censored failure times.

Room: Biostat library (5.2.46)

For more information and to see the abstracts go to https://biostatistics.dk/seminars/

Unless otherwise stated, seminars will be held at CSS (det gamle Kommunehospital), Øster Farimagsgade 5, 1353 Copenhagen K, room 5.2.46. Tea will be served in the library of the section of Biostatistics half an hour before the seminar starts.