Biostatistics Group Seminar, Thu 11th July

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Biostatistics Group Seminar, Thu 11th July

Postby rsc97 » Mon Jun 24, 2019 4:44 pm

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/howtofi ... 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.
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