Estimation of Effect Heterogeneity in Rare Events Meta-Analysis

The paper outlines several approaches for dealing with meta-analyses of count outcome data. These counts are the accumulation of occurred events, and these events might be rare, so a special feature of the meta-analysis is dealing with low counts including zero-count studies. Emphasis is put on appr...

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Detalles Bibliográficos
Autores principales: Holling, Heinz, Jansen, Katrin, Böhning, Walailuck, Böhning, Dankmar, Martin, Susan, Sangnawakij, Patarawan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Theory and Methods
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9433364/
https://www.ncbi.nlm.nih.gov/pubmed/35133554
http://dx.doi.org/10.1007/s11336-021-09835-5
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author Holling, Heinz
Jansen, Katrin
Böhning, Walailuck
Böhning, Dankmar
Martin, Susan
Sangnawakij, Patarawan
author_facet Holling, Heinz
Jansen, Katrin
Böhning, Walailuck
Böhning, Dankmar
Martin, Susan
Sangnawakij, Patarawan
author_sort Holling, Heinz
collection PubMed
description The paper outlines several approaches for dealing with meta-analyses of count outcome data. These counts are the accumulation of occurred events, and these events might be rare, so a special feature of the meta-analysis is dealing with low counts including zero-count studies. Emphasis is put on approaches which are state of the art for count data modelling including mixed log-linear (Poisson) and mixed logistic (binomial) regression as well as nonparametric mixture models for count data of Poisson and binomial type. A simulation study investigates the performance and capability of discrete mixture models in estimating effect heterogeneity. The approaches are exemplified on a meta-analytic case study investigating the acceptance of bibliotherapy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11336-021-09835-5.
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spelling pubmed-94333642022-09-02 Estimation of Effect Heterogeneity in Rare Events Meta-Analysis Holling, Heinz Jansen, Katrin Böhning, Walailuck Böhning, Dankmar Martin, Susan Sangnawakij, Patarawan Psychometrika Theory and Methods The paper outlines several approaches for dealing with meta-analyses of count outcome data. These counts are the accumulation of occurred events, and these events might be rare, so a special feature of the meta-analysis is dealing with low counts including zero-count studies. Emphasis is put on approaches which are state of the art for count data modelling including mixed log-linear (Poisson) and mixed logistic (binomial) regression as well as nonparametric mixture models for count data of Poisson and binomial type. A simulation study investigates the performance and capability of discrete mixture models in estimating effect heterogeneity. The approaches are exemplified on a meta-analytic case study investigating the acceptance of bibliotherapy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11336-021-09835-5. Springer US 2022-02-08 2022 /pmc/articles/PMC9433364/ /pubmed/35133554 http://dx.doi.org/10.1007/s11336-021-09835-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Theory and Methods
Holling, Heinz
Jansen, Katrin
Böhning, Walailuck
Böhning, Dankmar
Martin, Susan
Sangnawakij, Patarawan
Estimation of Effect Heterogeneity in Rare Events Meta-Analysis
title Estimation of Effect Heterogeneity in Rare Events Meta-Analysis
title_full Estimation of Effect Heterogeneity in Rare Events Meta-Analysis
title_fullStr Estimation of Effect Heterogeneity in Rare Events Meta-Analysis
title_full_unstemmed Estimation of Effect Heterogeneity in Rare Events Meta-Analysis
title_short Estimation of Effect Heterogeneity in Rare Events Meta-Analysis
title_sort estimation of effect heterogeneity in rare events meta-analysis
topic Theory and Methods
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9433364/
https://www.ncbi.nlm.nih.gov/pubmed/35133554
http://dx.doi.org/10.1007/s11336-021-09835-5
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