Bayesian Meta-Analysis for Subgroup Effects and Interactions

This research explores the application of Bayesian meta-analysis to assess subgroup-specific effects and interactions, a vital aspect of precision medicine and clinical research. The consistent use of Bayesian methods allows for robust inference and quantification of uncertainty in complex scenarios involving heterogeneous treatment effects.

• •Applies Bayesian methods for robust inference in meta-analysis.
• •Addresses subgroup-specific effects and interactions.
• •Potentially improves clinical decision-making through better understanding of treatment effects.