Log in to save to my catalogue

Heterogeneity estimation in meta-analysis of standardized mean differences when the distribution of...

Heterogeneity estimation in meta-analysis of standardized mean differences when the distribution of...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cfbbee563c3a4bbb93de9be26d630a51

Heterogeneity estimation in meta-analysis of standardized mean differences when the distribution of random effects departs from normal: A Monte Carlo simulation study

About this item

Full title

Heterogeneity estimation in meta-analysis of standardized mean differences when the distribution of random effects departs from normal: A Monte Carlo simulation study

Publisher

England: BioMed Central Ltd

Journal title

BMC medical research methodology, 2023-01, Vol.23 (1), p.19-22, Article 19

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Advantages of meta-analysis depend on the assumptions underlying the statistical procedures used being met. One of the main assumptions that is usually taken for granted is the normality underlying the population of true effects in a random-effects model, even though the available evidence suggests that this assumption is often not met. This paper...

Alternative Titles

Full title

Heterogeneity estimation in meta-analysis of standardized mean differences when the distribution of random effects departs from normal: A Monte Carlo simulation study

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_cfbbee563c3a4bbb93de9be26d630a51

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cfbbee563c3a4bbb93de9be26d630a51

Other Identifiers

ISSN

1471-2288

E-ISSN

1471-2288

DOI

10.1186/s12874-022-01809-0

How to access this item