TY - JOUR
T1 - Stochastic models of progression of cancer and their use in controlling cancer-related mortality
AU - Kimmel, Marek
AU - Gorlova, Olga
PY - 2002
Y1 - 2002
N2 - We propose to construct a realistic statistical model of lung cancer risk and progression. The essential elements of the model are genetic and behavioral determinants of susceptibility, progression of the disease from precursor lesions through early localized tumors to disseminated disease, detection by various modalities, and medical intervention. Using model estimates as a foundation, mortality reduction caused by early-detection and intervention programs can be predicted under different scenarios. Genetic indicators of susceptibility to lung cancer should be utilized to define the highest-risk subgroups of the high-risk behavior population (smokers). Calibration and validation of the model will be done by applying our techniques to a variety of data sets available, including public registry data of the SEER type, data from the NCI lung cancer chest X-ray screening studies, and the recent ELCAP CT-scan screening study.
AB - We propose to construct a realistic statistical model of lung cancer risk and progression. The essential elements of the model are genetic and behavioral determinants of susceptibility, progression of the disease from precursor lesions through early localized tumors to disseminated disease, detection by various modalities, and medical intervention. Using model estimates as a foundation, mortality reduction caused by early-detection and intervention programs can be predicted under different scenarios. Genetic indicators of susceptibility to lung cancer should be utilized to define the highest-risk subgroups of the high-risk behavior population (smokers). Calibration and validation of the model will be done by applying our techniques to a variety of data sets available, including public registry data of the SEER type, data from the NCI lung cancer chest X-ray screening studies, and the recent ELCAP CT-scan screening study.
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U2 - 10.1109/ACC.2002.1024459
DO - 10.1109/ACC.2002.1024459
M3 - Article
AN - SCOPUS:0036059868
SN - 0743-1619
VL - 5
SP - 3443
EP - 3448
JO - Proceedings of the American Control Conference
JF - Proceedings of the American Control Conference
ER -