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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] You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank.