A tutorial on individual participant data meta-analysis using Bayesian multilevel modeling to estimate alcohol intervention effects across heterogeneous studies.

This paper provides a tutorial companion for the methodological approach implemented in Huh et al. (2015) that overcame two major challenges for individual participant data (IPD) meta-analysis. Specifically, we show how to validly combine data from heterogeneous studies with varying numbers of treat...

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Bibliographic Details

Published in:	Addictive Behaviors Vol. 94; pp. 162 - 171
Main Authors:	Huh, David, Mun, Eun-Young, Walters, Scott T., Zhou, Zhengyang, Atkins, David C.
Format:	journal article
Published:	Elsevier B.V. Jul2019
Subjects:	Alcohol drinking Multilevel models Meta-analysis Alcohol Computer programming Statistical models Research funding Probability theory Statistics
Online Access:	View this record in EBSCOhost