Bayesian evidence synthesis in case of multi-cohort datasets: An illustration by multi-informant differences in self-control

Bayesian evidence synthesis in case of multi-cohort datasets: An illustration by multi-informant differences in self-control

The trend toward large-scale collaborative studies gives rise to the challenge of combining data from different sources efficiently. Here, we demonstrate how Bayesian evidence synthesis can be used to quantify and compare support for competing hypotheses and to aggregate this support over studies. W...

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Bibliographic Details
Main Authors: Sofieke T. Kevenaar, Maria A.J. Zondervan-Zwijnenburg, Elisabet Blok, Heiko Schmengler, M. (Ties) Fakkel, Eveline L. de Zeeuw, Elsje van Bergen, N. Charlotte Onland-Moret, Margot Peeters, Manon H.J. Hillegers, Dorret I. Boomsma, Albertine J. Oldehinkel
Format: Article
Language:English
Published: Elsevier 2021-02-01
Series:Developmental Cognitive Neuroscience
Subjects:
Multiple cohorts
Multiple informants
Self-control
Bayesian evidence synthesis
Multiple imputation by chained equations (MICE)
Online Access:http://www.sciencedirect.com/science/article/pii/S1878929320301535

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http://www.sciencedirect.com/science/article/pii/S1878929320301535

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