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Joint modelling of repeated measurement and time-to-event data: an introductory tutorial

Özgür Asar1, James Ritchie2, Philip A Kalra2

  • 1CHICAS, Lancaster Medical School, Lancaster University, Lancaster, UK, Vascular Research Group, Manchester Academic Health Sciences Centre, University of Manchester, Salford Royal NHS Foundation Trust, UK and Institute of Infection and Global Health, University of Liverpool, Liverpool, UK o.asar@lancaster.ac.uk.

International Journal of Epidemiology
|January 22, 2015
PubMed
Summary

Joint modelling improves analysis of repeated measurements and survival data, especially when data has errors. This statistical approach offers more accurate insights than separate analyses for kidney function and renal replacement therapy initiation.

Keywords:
Chronic kidney diseasecohort studyepidemiologyjoint modelling of longitudinal and survival datameasurement errormedical statisticsstatistical software

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