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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/26305

Title: Two-stage model for multivariate longitudinal and survival data with application to nephrology research
Authors: Guler Caamano Fajardo, Ipek
Faes, Christel
Cadarso-Suarez, Carmen
Teixeira, Laetitia
Rodrigues, Anabela
Mendonca, Denisa
Issue Date: 2017
Publisher: WILEY
Citation: BIOMETRICAL JOURNAL, 59(6), p. 1204-1220
Abstract: In many follow-up studies different types of outcomes are collected including longitudinal measurements and time-to-event outcomes. Commonly, it is of interest to study the association between them. Joint modeling approaches of a single longitudinal outcome and survival process have recently gained increasing attention from both frequentist and Bayesian perspective. However, in many studies several longitudinal biomarkers are of interest and instead of selecting one single biomarker, the relationships between all these outcomes and their association with survival needs to be investigated. Our motivating study comes from Peritoneal Dialysis Programme in Nephrology research from Nephrology Unit, CHP (Hospital de Santo Antonio), Porto, Portugal in which the interest relies on the possible association between various biomarkers (calcium, phosphate, parathormone, and creatinine) and the patients' survival. To this aim, we propose a two-stage model-based approach for multivariate longitudinal and survival data that allowed us to study such complex association structure. The multivariate model suggested in this paper provided new insights in the area of nephrology research showing valid results in comparison with those models studying each longitudinal biomarker with survival separately.
Notes: [Guler, Ipek; Cadarso-Suarez, Carmen] Univ Santiago de Compostela, Ctr Res Mol Med & Chron Dis CiMUS, Santiago De Compostela 15782, A Coruna, Spain. [Faes, Christel] Hasselt Univ, I Biostat, BE-3590 Diepenbeek, Belgium. [Teixeira, Laetitia; Rodrigues, Anabela; Mendonca, Denisa] Univ Porto, Inst Ciencias Biomed Abel Salazar, Oporto, Portugal. [Teixeira, Laetitia] Univ Porto, CINTESIS, Inst Ciencias Biomed Abel Salazar, Oporto, Portugal. [Mendonca, Denisa] Univ Porto, EPIUnit, Inst Saude Publ, Oporto, Portugal. [Rodrigues, Anabela] Hosp Geral Santo Antonio, Ctr Hosp Porto, Oporto, Portugal.
URI: http://hdl.handle.net/1942/26305
DOI: 10.1002/bimj.201600244
ISI #: 000418746100007
ISSN: 0323-3847
Category: A1
Type: Journal Contribution
Appears in Collections: Research publications

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