Title

Letter to the Editor on detecting and dealing with heterogeneity in meta-analyses by Cordero and Dans

UMMS Affiliation

Division of Biostatistics and Health Services Research, Department of Population and Quantitative Health Sciences

Publication Date

2021-06-10

Document Type

Letter to the Editor

Disciplines

Biostatistics | Clinical Epidemiology | Epidemiology | Health Services Research

Abstract

Cordero and Dans give valuable advice on various aspects of detecting and dealing with heterogeneity in meta-analyses. For assessing statistical heterogeneity, they start with a forest plot of the study-level effect estimates and complement it with 2 related numerical measures, Q and I2. Other recommended approaches in the literature include the between-study standard deviation and a prediction interval for the effect in a new study. All these approaches have shortcomings, which investigation of heterogeneity should take into account. Surprisingly, the limitations of Q and I2, the 2 most popular, are not yet widely understood.

Keywords

Heterogeneity, Q statistic, I2

DOI of Published Version

10.1016/j.jclinepi.2021.06.003

Source

Hoaglin DC. Letter to the Editor on detecting and dealing with heterogeneity in meta-analyses by Cordero and Dans. J Clin Epidemiol. 2021 Jun 10:S0895-4356(21)00181-5. doi: 10.1016/j.jclinepi.2021.06.003. Epub ahead of print. PMID: 34118366. Link to article on publisher's site

Journal/Book/Conference Title

Journal of clinical epidemiology

PubMed ID

34118366

Related Resources

Link to Article in PubMed

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