Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/27875
Title: | Assessing the Predictive Performance of Survival Models with Longitudinal Data | Authors: | Guler, Ipek FAES, Christel Gude, Francisco Cadarso-Suarez, Carmen |
Issue Date: | 2017 | Publisher: | SPRINGER INTERNATIONAL PUBLISHING AG | Source: | Gervasi, O.; Murgante, B.; Misra, S.; Borruso, G.; Torre, C.M.; Rocha, A.M.A.C.; Taniar, D.; Apduhan, B.O.; Stankova, E.; Cuzzocrea, A. (Ed.). Computational Science and Its Applications – ICCSA 2017 17th International Conference, Trieste, Italy, July 3-6, 2017, Proceedings, Part II, SPRINGER INTERNATIONAL PUBLISHING AG,p. 621-631 | Series/Report: | Lecture Notes in Computer Science | Series/Report no.: | 10405 | 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. Different regression modelling techniques have been proposed in the literature to study such association. In this paper, we will focus on two of them: two-stage models and joint modelling framework and compare them in terms of the predictive capacity of the time-to-event model. Our interest is twofold: discussing the occurrence of bias estimations and predictive capacity of the models in short-term and long-term mortality in our particular case study, Cardiac Resynchronization Therapy (CRT). | 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] Univ Hasselt, Interuniv Inst Biostat & Stat Bioinformat, Hasselt, Belgium. [Gude, Francisco] Hosp Clino Santiago De Compostela, Clin Epidemiol Unit, La Coruna, Spain. | Document URI: | http://hdl.handle.net/1942/27875 | ISBN: | 9783319623948 | DOI: | 10.1007/978-3-319-62395-5_43 | ISI #: | 000448605100043 | Rights: | Copyright Springer International Publishing AG 2017 | Category: | C1 | Type: | Proceedings Paper | Validations: | ecoom 2019 |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
guler2017.pdf Restricted Access | Published version | 962.61 kB | Adobe PDF | View/Open Request a copy |
Page view(s)
48
checked on Sep 7, 2022
Download(s)
38
checked on Sep 7, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.