University of Oulu

Nieminen P. Application of Standardized Regression Coefficient in Meta-Analysis. BioMedInformatics. 2022; 2(3):434-458.

Application of standardized regression coefficient in meta-analysis

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Author: Nieminen, Pentti1
Organizations: 1Medical Informatics and Data Analysis Research Group, University of Oulu, 90014 Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 0.9 MB)
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Language: English
Published: Multidisciplinary Digital Publishing Institute, 2022
Publish Date: 2023-08-23


The lack of consistent presentation of results in published studies on the association between a quantitative explanatory variable and a quantitative dependent variable has been a long-term issue in evaluating the reported findings. Studies are analyzed and reported in a variety of ways. The main purpose of this review is to illustrate the procedures in summarizing and synthesizing research results from multivariate models with a quantitative outcome variable. The review summarizes the application of the standardized regression coefficient as an effect size index in the context of meta-analysis and describe how it can be estimated and converted from data presented in original research articles. An example of synthesis is provided using research articles on the association between childhood body mass index and carotid intima-media thickness in adult life. Finally, the paper shares practical recommendations for meta-analysts wanting to use the standardized regression coefficient in pooling findings.

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Series: BioMedInformatics
ISSN: 2673-7426
ISSN-E: 2673-7426
ISSN-L: 2673-7426
Volume: 2
Issue: 3
Pages: 434 - 458
DOI: 10.3390/biomedinformatics2030028
Type of Publication: A2 Review article in a scientific journal
Field of Science: 112 Statistics and probability
Copyright information: © 2022 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (