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August 6, 2024Journal of Evidence-Based Medicine

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

Minghong Yao Fan Mei Kang Zou Ling Li Xin Sun

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Abstract

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.

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Cite This Study

Yao et al. (2024) studied this question.

synapsesocial.com/papers/68e5d46db6db64358756a37e https://doi.org/10.1111/jebm.12633

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