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Joint modelling in health research (JoineR): Methods, Applications and Software

Ruwanthi Kolamunnage-Dona (Department of Biostatistics, University of Liverpool)

It is now common in health research for longitudinal measurement of quantities such as biomarkers to be available alongside event history data such as time to disease onset or time to adverse event. However, the complexities of the current data collection protocols are often not covered by existing generally available software, and more fundamentally, requited further statistical methodological development. Often, simplified approach is selected to analyse such data because of the ready availability of standard software, despite the possibility of severe bias through misspecification, or at best inefficient estimation. We have developed statistical methods and software for joint modelling of combined repeated measurements and event-time data. As the JoineR collaboration, we will present our work on joint modelling, and its application in health research.