Biostatistics Group Seminar, Thursday 12th September

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Biostatistics Group Seminar, Thursday 12th September

Postby rsc97 » Fri Aug 09, 2019 4:49 pm

Biostatistics Group Seminar
School of Primary, Community and Social Care
Keele University

Title: Correlated multi-state models for multiple processes: An application to renal disease progression in systemic lupus erythematosus

Speaker: Dr Aidan O’Keeffe, Department of Statistical Science, University College London

Date: Thursday 12th September 12:00-13:00

Venue: Dinwoodie Lecture Theatre, David Weatherall Building ... colour.pdf

Abstract: In longitudinal studies, multiple continuous-time processes may be measured over time for a number of subjects. For each process, the movement of subjects amongst different ‘states’ over time may be modelled using a multi-state model. Typically, such models would be fitted separately, ignoring the possibility of correlation between different processes.

In this talk, the use of random effects within multi state modelling is explored to account for such correlation, motivated by the modelling of glomerular filtration rate and urine protein content over time in the management of patients with lupus nephritis (LN). Clinically, these two bidirectional processes are indicators of overall kidney function and, as such, are likely to be highly correlated. A new multi-state modelling framework is developed where subject-specific random effects are introduced to account for both the correlation between the processes and within-patients over time. Models may be fitted easily using standard statistical software. A variety of forms for the random effects are introduced and fitted to data from the Systemic Lupus International Collaborating Clinics. In this example, random effects models represent an improved fit when compared to separate multi-state models. The developed framework can be extended to the fitting of a series of general multi-state models.
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