Design and analysis considerations for combining data from multiple biomarker studies

Pooling data from multiple studies improves estimation of exposure‐disease associations through increased sample size. However, biomarker exposure measurements can vary substantially across laboratories and often require calibration to a reference assay prior to pooling. We develop two statistical methods for aggregating biomarker data from multiple studies: the full calibration method and the internalized method. The full calibration method...