A Bayesian multivariate meta‐analysis of prevalence data

When conducting a meta‐analysis involving prevalence data for an outcome with several subtypes, each of them is typically analyzed separately using a univariate meta‐analysis model. Recently, multivariate meta‐analysis models have been shown to correspond to a decrease in bias and variance for multi...

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Veröffentlicht in:	Statistics in medicine 2020-10, Vol.39 (23), p.3105-3119
Hauptverfasser:	Siegel, Lianne, Rudser, Kyle, Sutcliffe, Siobhan, Markland, Alayne, Brubaker, Linda, Gahagan, Sheila, Stapleton, Ann E., Chu, Haitao
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayes Theorem Bayesian methods Bias Female Humans Meta-analysis Missing data Multivariate Analysis Prevalence Research Design sensitivity analysis urinary incontinence Urogenital system
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