Target Aggregate Data Adjustment Method for Transportability Analysis Utilizing Summary‐Level Data From the Target Population

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Target Aggregate Data Adjustment (TADA) improves transportability analysis using summary-level data.
The method addresses censoring bias and adjusts for differences in effect modifiers in target populations.
Simulation studies demonstrated TADA's efficacy in controlling bias from moderate censoring scenarios.
Real-world application of TADA was illustrated through a squamous non-small-cell lung cancer trial case study.

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Proposed framework effectively adjusts for censoring bias and distributional imbalances in aggregate data for transportability analysis.

Yan et al. (2025) studied this question.

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