A Bayesian bias‐adjusted random‐effects model for synthesizing evidence from randomized controlled trials and nonrandomized studies of interventions

Objective An important consideration when combining RCTs and NRSIs is how to address their potential biases in the pooled estimates. This study aimed to propose a Bayesian bias‐adjusted random effects model for the synthesis of evidence from RCTs and NRSIs. Methods We present a Bayesian bias‐adjuste...

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Veröffentlicht in:	Journal of evidence-based medicine 2024-09, Vol.17 (3), p.550-558
Hauptverfasser:	Yao, Minghong, Mei, Fan, Zou, Kang, Li, Ling, Sun, Xin
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayesian hierarchical models Bias generalized evidence synthesis meta‐analysis risk of bias
Online-Zugang:	Volltext
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