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Title: | Bayesian model selection for multilevel mediation models | Authors: | Ariyo, Oludare LESAFFRE, Emmanuel VERBEKE, Geert Huisman, Martijn Heymans, Martijn Twisk, Jos |
Issue Date: | 2022 | Publisher: | WILEY | Source: | Statistica Neerlandica 2021, 76 (2) , p. 219-235 | Abstract: | Mediation analysis is often used to explore the complex relationship between two variables through a third mediating variable. This paper aims to illustrate the performance of the deviance information criterion, the pseudo-Bayes factor, and the Watanabe-Akaike information criterion in selecting the appropriate multilevel mediation model. Our focus will be on comparing the conditional criteria (given random effects) versus the marginal criteria (averaged over random effects) in this respect. Most of the previous work on the multilevel mediation models fails to report the poor behavior of the conditional criteria. We demonstrate here the superiority of the marginal version of the selection criteria over their conditional counterpart in the mediated longitudinal settings through simulation studies and via an application to data from the Longitudinal Aging Study of the Amsterdam study. In addition, we demonstrate the usefulness of our self-written R function for multilevel mediation models. | Notes: | Ariyo, O (corresponding author), Katholieke Univ Leuven, Interuniv Inst Biostat & Stat Bioinformat I BioSt, Leuven, Belgium. ariyoso@funaab.edu.ng |
Keywords: | deviance information criterion;marginalized likelihood;multilevel mediation models;pseudo Bayes factor;Watanabe-Akaike information criterion | Document URI: | http://hdl.handle.net/1942/35872 | ISSN: | 0039-0402 | e-ISSN: | 1467-9574 | DOI: | 10.1111/stan.12256 | ISI #: | 000715136600001 | Rights: | 2021 Netherlands Society for Statistics and Operations Research. Free access | Category: | A1 | Type: | Journal Contribution |
Appears in Collections: | Research publications |
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Statistica Neerlandica - 2021 - Ariyo - Bayesian model selection for multilevel mediation models.pdf | Published version | 631.01 kB | Adobe PDF | View/Open |
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