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Statistical methods for biomarker data pooled from multiple nested case–control studies
Pooling biomarker data across multiple studies allows for examination of a wider exposure range than generally possible in individual studies, evaluation of population subgroups and disease subtypes with more statistical power, and more precise estimation of biomarker-disease associations. However,...
Tallennettuna:
| Julkaisussa: | Biostatistics |
|---|---|
| Päätekijät: | , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Oxford University Press
2019
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8286552/ https://ncbi.nlm.nih.gov/pubmed/31750898 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biostatistics/kxz051 |
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