Abstract
Orthotopic liver transplantation (OLT) is the established treatment for end-stage liver disease and acute fulminant hepatic failure. The clinical interest lies on the association between post-operative glucose profiles, daily therapy with insulin and the risk of death. We propose a two-staged model based approach for flexible modelling of multivariate longitudinal and survival data to study these associations.
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Acknowledgements
This work was supported by the project MTM2014-52975-C2-1-R: “Inference in Structured Additive Regression (STAR) Models with Extensions to Multivariate Responses. Applications in Biomedicine”, cofinanced by the Ministry of Economy and Competitiveness (SPAIN) and by the European Regional Development Fund (FEDER).
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Guler, I., Faes, C., Cadarso-Suárez, C., Gude, F. (2017). Joint Modelling for Flexible Multivariate Longitudinal and Survival Data: Application in Orthotopic Liver Transplantation. In: Ainsbury, E., Calle, M., Cardis, E., Einbeck, J., Gómez, G., Puig, P. (eds) Extended Abstracts Fall 2015. Trends in Mathematics(), vol 7. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-55639-0_6
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DOI: https://doi.org/10.1007/978-3-319-55639-0_6
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