A robust Bayesian model to quantify and adjust for study quality and conflict of interest in meta-analyses (2025)
Presentation / Conference Contribution
Troffaes, M. C. M., Casini, L., Landes, J., & Sahlin, U. (2025, July). A robust Bayesian model to quantify and adjust for study quality and conflict of interest in meta-analyses. Presented at 14th International Symposium on Imprecise Probabilities: Theories and Applications, Bielefeld, Germany

Meta-analyses are vital for synthesizing evidence in medical research, but conflicts of interest can introduce research bias, undermining the reliability of the synthesized findings. This paper proposes a new robust Bayesian meta-analysis model. The... Read More about A robust Bayesian model to quantify and adjust for study quality and conflict of interest in meta-analyses.