Biostatistics Group Seminar
Research Institute for Primary Care and Health Sciences
Keele University
Title: Latent Class Item Response Theory Models: A Promising Approach
for Characterizing Heterogeneity in Patient-Reported Outcomes
Speaker: Dr Tolu Sajobi, Cumming School of Medicine, University of
Calgary, Calgary, Canada
Date: Thursday 11th 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: Latent variable models, such as those based on item response
theory (IRT), are widely and increasingly used for patient-reported
outcomes (PROs) measurement. A fundamental assumption of PRO measurement
is that all individuals interpret questions about their health status in
a consistent manner, such that a measurement model can be constructed
that is equivalently applicable to all people in the target population.
In this talk, I will discuss the use of latent class IRT models for
examining measurement invariance in heterogeneous patient populations.
PRO data from a population-based registry of heart disease patients in
Alberta, Canada, will be used to illustrate the implementation of this
model in MPlus.
--
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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