Spline Analysis of Biomarker Data Pooled from Multiple Matched/Nested Case-Control Studies.

ABSTRACT: Pooling biomarker data across multiple studies enables researchers to obtain precise estimates of the association between biomarker measurements and disease risks due to increased sample sizes. However, biomarker measurements often vary significantly across different assays and laboratories; therefore, calibration of the local laboratory measurements to a reference laboratory is necessary before pooling data. We propose two methods for estimating the dose-response curves that allow for a nonlinear association between the continuous biomarker measurements and log relative risk in pooling projects of matched/nested case-control studies. Our methods are based on full calibration and internalized calibration methods. The full calibration method uses calibrated biomarker measurements for all su

SUBMITTER: Wu Y 

PROVIDER: S-EPMC9179317 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature