stc-methodology

What problem does it solve?

STC methodology provides a structured approach to transport trial results across populations by adjusting IPD-based estimates for differences in covariates with aggregate data, enabling valid indirect comparisons in ITC analyses.

Core Features & Use Cases

• Guidance on choosing between anchored and unanchored STC and when to use each approach
• Support for effect modifier identification, covariate centering, and interpretation of treatment effects at external population values
• Instructions for both frequentist and Bayesian STC implementations, including model diagnostics and reporting
• Use Case: Apply STC to compare treatments across trials with different covariate distributions while documenting assumptions and sensitivity analyses

Quick Start

Run an anchored STC analysis with IPD and aggregate-data covariates to estimate the external-population treatment effect.