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http://hdl.handle.net/1942/10813
Title: | Multiple-Imputation-Based Residuals and Diagnostic Plots for Joint Models of Longitudinal and Survival Outcomes | Authors: | Rizopoulos, Dimitris VERBEKE, Geert MOLENBERGHS, Geert |
Issue Date: | 2010 | Publisher: | WILEY-BLACKWELL PUBLISHING, INC | Source: | BIOMETRICS, 66(1). p. 20-29 | Abstract: | The majority of the statistical literature for the joint modeling of longitudinal and time-to-event data has focused on the development of models that aim at capturing specific aspects of the motivating case studies. However, little attention has been given to the development of diagnostic and model-assessment tools. The main difficulty in using standard model diagnostics in joint models is the nonrandom dropout in the longitudinal outcome caused by the occurrence of events. In particular, the reference distribution of statistics, such as the residuals, in missing data settings is not directly available and complex calculations are required to derive it. In this article, we propose a multiple-imputation-based approach for creating multiple versions of the completed data set under the assumed joint model. Residuals and diagnostic plots for the complete data model can then be calculated based on these imputed data sets. Our proposals are exemplified using two real data sets. | Notes: | [Rizopoulos, Dimitris] Erasmus MC, Dept Biostat, NL-3000 CA Rotterdam, Netherlands. [Verbeke, Geert; Molenberghs, Geert] Katholieke Univ Leuven, Interuniv Inst Biostat & Stat Bioinformat, B-3000 Louvain, Belgium. [Verbeke, Geert; Molenberghs, Geert] Univ Hasselt, B-3590 Diepenbeek, Belgium. d.rizopoulos@erasmusmc.nl | Keywords: | Dropout; Joint modeling; Longitudinal data; Model diagnostics; Residuals; Survival data;dropout; joint modeling; longitudinal data; model diagnostics; residuals; survival data | Document URI: | http://hdl.handle.net/1942/10813 | ISSN: | 0006-341X | e-ISSN: | 1541-0420 | DOI: | 10.1111/j.1541-0420.2009.01273.x | ISI #: | 000275727200004 | Rights: | (c) 2009, The International Biometric Society | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2011 |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
ResidJoint[1].pdf | Peer-reviewed author version | 2.2 MB | Adobe PDF | View/Open |
Rizopoulos_et_al-2010-Biometrics.pdf Restricted Access | Published version | 2.28 MB | Adobe PDF | View/Open Request a copy |
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