Lung Cancer Risk Prediction: Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial Models and Validation

INTRODUCTION: Identification of individuals at high risk for lung cancer should be of value to individuals, patients, clinicians, and researchers. Existing prediction models have only modest capabilities to classify persons at risk accurately. METHODS: Prospective data from 70 962 control subjects i...

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Main Authors: Tammemagi, C. Martin, Pinsky, Paul F., Caporaso, Neil E., Kvale, Paul A., Hocking, William G., Church, Timothy R., Riley, Thomas L., Commins, John, Oken, Martin M., Berg, Christine D., Prorok, Philip C.
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2011
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Articles
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3131220/
https://ncbi.nlm.nih.gov/pubmed/21606442
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jnci/djr173
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