Journal ArticleDOI
Meta-analysis of prevalence
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TLDR
It is concluded that the double arcsine transformation is preferred over the logit, and that the MetaXL implementation of multiple category prevalence is an improvement in the methodology of the meta-analysis of prevalence.Abstract:
Meta-analysis is a method to obtain a weighted average of results from various studies. In addition to pooling effect sizes, meta-analysis can also be used to estimate disease frequencies, such as incidence and prevalence. In this article we present methods for the meta-analysis of prevalence. We discuss the logit and double arcsine transformations to stabilise the variance. We note the special situation of multiple category prevalence, and propose solutions to the problems that arise. We describe the implementation of these methods in the MetaXL software, and present a simulation study and the example of multiple sclerosis from the Global Burden of Disease 2010 project. We conclude that the double arcsine transformation is preferred over the logit, and that the MetaXL implementation of multiple category prevalence is an improvement in the methodology of the meta-analysis of prevalence.read more
Citations
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Prevalence of depression, anxiety, and insomnia among healthcare workers during the COVID-19 pandemic: A systematic review and meta-analysis.
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References
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Journal ArticleDOI
Meta-Analysis in Clinical Trials*
TL;DR: This paper examines eight published reviews each reporting results from several related trials in order to evaluate the efficacy of a certain treatment for a specified medical condition and suggests a simple noniterative procedure for characterizing the distribution of treatment effects in a series of studies.
Book
Practical Meta-Analysis
Mark W. Lipsey,David B. Wilson +1 more
TL;DR: This paper presents a meta-analysis procedure called “Meta-Analysis Interpretation for Meta-Analysis Selecting, Computing and Coding the Effect Size Statistic and its applications to Data Management Analysis Issues and Strategies.
Journal ArticleDOI
Transformations Related to the Angular and the Square Root
Murray F. Freeman,John W. Tukey +1 more
TL;DR: In this paper, an empirical study of a number of approximations for variance stabilization is presented, some intended for significance and confidence work and others for variance stabilisation for Poisson data.
Journal ArticleDOI
The Inverse of the Freeman – Tukey Double Arcsine Transformation
TL;DR: In this paper, a formula for the inverse of the Freeman-Tukey double arcsine transformation is derived, which is useful when expressing means of double arcsines as retransformed proportions.
Journal ArticleDOI
A quality-effects model for meta-analysis.
Suhail A.R. Doi,Lukman Thalib +1 more
TL;DR: A simple noniterative procedure is proposed for computing the combined effect size under this model and it is suggested that this could represent a more convincing alternative to the random effects model.