Examining the Reliability of Model-Based Meta-Analysis (MBMA) Outcomes: A Simulation Study.

ABSTRACT: Model-based meta-analysis (MBMA) can be utilized to synthesize literature data and predict drug efficacy, particularly suitable for constructing external comparator arms for non-randomized controlled trials (NRCTs). This study evaluated the reliability of MBMA by comparing covariate models generated through MBMA to individual patient data. A pharmacodynamic covariate model, commonly employed in MBMA, was used to set true parameter values and simulate data across various scenarios. The reliability of MBMA models was assessed by comparing estimated to true parameter values and identifying optimal conditions for MBMA use. Linear and nonlinear covariate models were evaluated in 24 scenarios, focusing on the relative deviations of parameter estimates from their true values. Evaluation metrics i

SUBMITTER: Yu J 

PROVIDER: S-EPMC12823777 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature