Meta-analysis and partial correlation coefficients: A matter of weights.
Res Synth Methods
; 15(2): 303-312, 2024 Mar.
Article
em En
| MEDLINE
| ID: mdl-38158609
ABSTRACT
This study builds on the simulation framework of a recent paper by Stanley and Doucouliagos (Research Synthesis Methods 2023;14;515-519). S&D use simulations to make the argument that meta-analyses using partial correlation coefficients (PCCs) should employ a "suboptimal" estimator of the PCC standard error when constructing weights for fixed effect and random effects estimation. We address concerns that their simulations and subsequent recommendation may give meta-analysts a misleading impression. While the estimator they promote dominates the "correct" formula in their Monte Carlo framework, there are other estimators that perform even better. We conclude that more research is needed before best practice recommendations can be made for meta-analyses with PCCs.
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Texto completo:
1
Coleções:
01-internacional
Contexto em Saúde:
1_ASSA2030
Base de dados:
MEDLINE
Assunto principal:
Projetos de Pesquisa
/
Modelos Estatísticos
Tipo de estudo:
Systematic_reviews
Idioma:
En
Revista:
Res Synth Methods
Ano de publicação:
2024
Tipo de documento:
Article