Exact Inference for Fixed-Effects Meta-Analysis of Proportions

Autor/inn/en	Hansen, Spencer; Rice, Kenneth
Titel	Exact Inference for Fixed-Effects Meta-Analysis of Proportions
Quelle	In: Research Synthesis Methods, 13 (2022) 2, S.204-213 (10 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Hansen, Spencer) ORCID (Rice, Kenneth)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1759-2879
DOI	10.1002/jrsm.1526
Schlagwörter	Meta Analysis; Effect Size; Statistical Inference; Intervals; Computer Software; Diseases + Suchen Sie Ihr Suchwort? Meta-analysis; Metaanalyse; Inferential statistics; Schließende Statistik; Disease; Krankheit
Abstract	Meta-analysis of proportions is conceptually simple: Faced with a binary outcome in multiple studies, we seek inference on some overall proportion of successes/failures. Under common effect models, exact inference has long been available, but is not when we more realistically allow for heterogeneity of the proportions. Instead a wide range of nonexact fixed-effects methods are used, the interpretation of some of which is challenging. In this paper, we present methods for exact statistical tests and confidence intervals for fixed-effects meta-analysis of proportions. These methods retain the interpretability of the underlying parameter of interest, and can be implemented in straightforward software. We also show how our inference on the overall proportion is compatible with exact inference on heterogeneity of proportions. An illustrative example from a recent kidney disease study shows how the method's performance can be assessed in practice. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01