Efficient two-step multivariate random effects meta-analysis of individual participant data for longitudinal clinical trials using mixed effects models

Efficient two-step multivariate random effects meta-analysis of individual participant data for longitudinal clinical trials using mixed effects models

Abstract Background Mixed effects models have been widely applied in clinical trials that involve longitudinal repeated measurements, which possibly contain missing outcome data. In meta-analysis of individual participant data (IPD) based on these longitudinal studies, joint synthesis of the regress...

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Bibliographic Details
Main Authors: Hisashi Noma, Kazushi Maruo, Masahiko Gosho, Stephen Z. Levine, Yair Goldberg, Stefan Leucht, Toshi A. Furukawa
Format: Article
Language:English
Published: BMC 2019-02-01
Series:BMC Medical Research Methodology
Subjects:
Individual participant data meta-analysis
Mixed effects models
Multivariate random effects model
Longitudinal studies
Heterogeneity
Online Access:http://link.springer.com/article/10.1186/s12874-019-0676-1

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http://link.springer.com/article/10.1186/s12874-019-0676-1

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