Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/111797
Author(s): Guler, I
Faes, C
Cadarso-Suárez, C
Teixeira, L
Rodrigues, A
Mendonça, D
Title: Two-stage model for multivariate longitudinal and survival data with application to nephrology research
Publisher: Wiley
Issue Date: 2017
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 António), 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.
Subject: Multivariate longitudinal data
Nephrology peritoneal dialysis
URI: http://hdl.handle.net/10216/111797
Series: Biometrical Journal 59(6), p. 1204–1220
Document Type: Artigo em Revista Científica Internacional
Rights: openAccess
Appears in Collections:ISPUP - Artigo em Revista Científica Internacional

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