Biostatistics Group Seminar
Research Institute for Primary Care and Health Sciences
Keele University
Title: Multi-state modelling: An Overview
Speaker: Dr Andrew Titman, Lancaster University.
Date: Tuesday 9th July 12:00-13:30
Venue: Dinwoodie Lecture Theatre, David Weatherall Building
https://www.keele.ac.uk/connect/howtofindus/maps/keele-campus-guide-colour.pdf
Abstract: Multi-state modelling is a technique within event history
analysis. Such models are particularly useful for the joint modelling of
survival and important ordinal or categorical time dependent covariates.
For instance, they have been used extensively to model chronic diseases,
where interest may lie both in the rate of progression between
clinically defined stages of disease and in the effect of progression on
the hazard of death.
The talk will give an overview of the principal methods and key
assumptions used in multi-state models. A distinction will be made
between continuously observed processes, where much of the machinery
from standard survival analysis carries across and there is an emphasis
on non- or semi-parametric methods, and interval-censored or
panel-observed data where there are additional computational challenges
and analysis is usually parametric. The methods will be illustrated
through applications such as modelling progression-free and overall
survival in cancer studies and modelling the onset of cardiac allograft
vasculopathy in post-heart-transplantation patients.
--
Dr Ivonne Solis-Trapala
Deputy Director, NIHR Research Design Service, West Midlands (Keele Hub)
Senior Lecturer in Medical Statistics
Research Institute for Primary Care and Health Sciences
and Keele Clinical Trials Unit
Faculty of Medicine and Health Sciences
Keele University
Staffordshire, ST5 5BG
Room DJW1.104, e-mail: [log in to unmask]
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