Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/26304
Title: Fast precision estimation in high-dimensional multivariate joint models
Authors: NASSIRI, Vahid 
IVANOVA, Anna 
MOLENBERGHS, Geert 
VERBEKE, Geert 
Issue Date: 2017
Publisher: WILEY
Source: BIOMETRICAL JOURNAL, 59(6), p. 1221-1231
Abstract: A fast way is proposed based on the multiple outputation idea (Hoffman et al., 2001; Follmann et al., 2003) to calculate the precision of parameter estimates for high-dimensional multivariate joint models using a pairwise approach (Fieuws and Verbeke, 2006; Fieuws et al., 2007). Simulation results as well as data analysis shows possibly more than 2500 times faster computations using the proposed method. In our real data illustration, the time gain is more than 330 times.
Notes: [Nassiri, Vahid; Ivanova, Anna; Molenberghs, Geert; Verbeke, Geert] Katholieke Univ Leuven, I BioStat, Kapucijnenvoer 35 Blok D Box 7001, BE-3000 Leuven, Belgium. [Molenberghs, Geert; Verbeke, Geert] Univ Hasselt, I BioStat, Campus Diepenbeek,Agoralaan Bldg D, BE-3590 Diepenbeek, Belgium.
Keywords: multiple outputation; joint model; random effects;Multiple outputation; Joint model; Random effects
Document URI: http://hdl.handle.net/1942/26304
ISSN: 0323-3847
e-ISSN: 1521-4036
DOI: 10.1002/bimj.201600241
ISI #: 000418746100008
Rights: (C) 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
Category: A1
Type: Journal Contribution
Validations: ecoom 2019
Appears in Collections:Research publications

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