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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 m...
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| 發表在: | Stat Med |
|---|---|
| Main Authors: | , , , , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
2018
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6755899/ https://ncbi.nlm.nih.gov/pubmed/30569596 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.8052 |
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