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 in...

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Veröffentlicht in:	JNCI : Journal of the National Cancer Institute 2011-07, Vol.103 (13), p.1058-1068
Hauptverfasser:	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.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Age Aged Area Under Curve Biological and medical sciences Canada - epidemiology Cancer chronic obstructive pulmonary disease Clinical outcomes Clinical Trials as Topic Colorectal Neoplasms - diagnosis Colorectal Neoplasms - epidemiology Confounding Factors (Epidemiology) Discrimination Early Detection of Cancer Female Genetics Humans Intervention Logistic Models Lung cancer Lung Neoplasms - diagnosis Lung Neoplasms - epidemiology Lung Neoplasms - etiology Lung Neoplasms - mortality Male Medical sciences Medical screening Middle Aged Models, Statistical Ovarian carcinoma Ovarian Neoplasms - diagnosis Ovarian Neoplasms - epidemiology Pneumology Prediction prediction models Predictive Value of Tests Proportional Hazards Models Prospective Studies Prostatic Neoplasms - diagnosis Prostatic Neoplasms - epidemiology Reproducibility of Results Research Design Risk Assessment Risk Factors ROC Curve Smoking Smoking - adverse effects Smoking - epidemiology Smoking Cessation Tumors Tumors of the respiratory system and mediastinum
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