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Design and Inference for Cancer Biomarker Study with an Outcome and Auxiliary-Dependent Subsampling
In cancer research, it is important to evaluate the performance of a biomarker (e.g. molecular, genetic, or imaging) that correlates patients’ prognosis or predicts patients’ response to a treatment in large prospective study. Due to overall budget constraint and high cost associated with bioassays,...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2009
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| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2891224/ https://ncbi.nlm.nih.gov/pubmed/19508239 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2009.01280.x |
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