Robust Bayesian Model Averaging Meta‐Analysis of Menstrual Disorders in COVID‐19 Survivors: A Methodological Meta‐Analysis Study

ABSTRACT Background and Aims The COVID‐19 pandemic has significantly affected public health worldwide. This study applies a novel Robust Bayesian Model Averaging‐Publication Selection Model Averaging method (RoBMA‐PSMA) to address publication bias for a single proportion and estimate the pooled prev...

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Principais autores:	Ghazaleh Falahati, Akbar Biglarian, Samira Behboudi‐Gandevani, Razieh Bidhendi‐Yarandi
Format:	Artigo
Jezik:	Inglês
Izdano:	Wiley 2025-12-01
Serija:	Health Science Reports
Teme:	prevalence of menstrual disorders publication bias RoBMA‐PSMA robust Bayesian model averaging method‐publication selection SARS‐CoV‐2
Online dostop:	https://doi.org/10.1002/hsr2.71626
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