Fast precision estimation in high-dimensional multivariate joint models

被引：3

作者：

Nassiri, Vahid ^{[1
]}

Ivanova, Anna ^{[1
]}

Molenberghs, Geert ^{[1
,2
]}

Verbeke, Geert ^{[1
,2
]}

机构：

[1] Katholieke Univ Leuven, I BioStat, Kapucijnenvoer 35 Blok D Box 7001, BE-3000 Leuven, Belgium

[2] Univ Hasselt, I BioStat, Campus Diepenbeek,Agoralaan Bldg D, BE-3590 Diepenbeek, Belgium

来源：

BIOMETRICAL JOURNAL | 2017年 / 59卷 / 06期

基金：

比利时弗兰德研究基金会;

关键词：

Multiple outputation; Joint model; Random effects; LONGITUDINAL DATA;

D O I：

10.1002/bimj.201600241

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页码：1221 / 1231

页数：11

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