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Joint Survival Analysis of Time to Drug Change and a Terminal Event with Application to Drug Failure Analysis using Transplant Registry Data
International Journal of Statistics in Medical Research (2016)
  • Elizabeth Renouf, University of Western Ontario
  • Charmaine B Dean, The Univeristy of Western Ontario
  • David R Bellhouse, The Univeristy of Western Ontario
  • Vivian C. McAlister
Abstract
Statistical approaches for drug effectiveness studies after liver transplant have used a survival model with changes in treatment as a time-dependent covariate. However, the approach requires that changes in the time-dependent covariate be unrelated to survival outcome. Usually this is not the case, as one drug may be discontinued and an alternative chosen due to the declining health status of the patient. Other approaches examine only subjects who remain on the same drug over a time window, which discards valuable data and may lead to biased effects since this excludes data related to early deaths and to individuals who perform poorly on the drug and had to switch treatments. Because of these issues there are conflicting results seen in the evaluation of immunosuppressive drug effectiveness after liver transplant. We propose a joint survival outcome model with a time-to-drug-change event and a terminal event in graft failure that is useful in drug effectiveness studies where subjects are discontinued from an immunosuppressant (in favour of alternative treatment) due to health reasons. We also include a longitudinal biomarker component. The model takes account of the dependencies across out- comes through shared random effects. Using a Markov chain Monte Carlo approach, we fit the joint model to data from liver transplant recipients from the Scientific Registry for Transplant Recipients.
Keywords
  • Joint models,
  • longitudinal,
  • survival,
  • transplant,
  • joint outcome.
Publication Date
July, 2016
DOI
http://dx.doi.org/10.6000/1929-6029.2016.05.03.6
Citation Information
Elizabeth Renouf, Charmaine B Dean, David R Bellhouse and Vivian C. McAlister. "Joint Survival Analysis of Time to Drug Change and a Terminal Event with Application to Drug Failure Analysis using Transplant Registry Data" International Journal of Statistics in Medical Research Vol. 5 (2016) p. 198 - 213 ISSN: 1929-6029
Available at: http://works.bepress.com/vivianmcalister/221/
Creative Commons license
Creative Commons License
This work is licensed under a Creative Commons CC_BY International License.