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Presentations
Cancer Risk Prediction Models conference and are available for you to download below. They are organized by the order in which they were presented at the meeting.Andrew Freedman , Division of Cancer Control and Population Sciences, NCICancer Risk Prediction Models: A Workshop on Development, Evaluation, and Application Laura Esserman , UCSF Medical Center, Mt. Zion HospitalClinical Applications of Risk Prediction Models Karen Kuntz , Harvard School of Public HealthEstimating the Burden of Disease: Examining the impact of changing risk factors on colorectal cancer incidence and mortality Joseph Costantino , Graduate School of Public Health, University of PittsburghCancer Risk Prediction Models: A Workshop on Development, Evaluation, and Application Jack Cuzick , Imperial Cancer Research FundEpidemiology of Breast Cancer: Selected Highlights Mitchell Gail , DCEG, NCIDesigns for Developing and Evaluating Models of Absolute Risk Bernard Rosner , Harvard Medical School, Brigham and Women's HospitalBreast Cancer Risk Prediction: Impact of Time-Dependent Risk Factors and Heterogeneity by ER/PR Receptor Status Beverly Rockhill , University of North Carolina, Chapel HillThe Problem with Individual Risk Colin Begg , Memorial Sloan-Kettering Cancer CenterConceptual Issues in Risk Prediction Lisa Sullivan , Boston UniversityLessons Learned From Cardiovascular Risk Models: Experience from the Framingham Study Antonis Antoniou , CR-UK Genetic Epidemiology Unit, University of CambridgeThe BOADICEA model of genetic susceptibility to breast and ovarian cancer: updating, validation, predictions Timothy Rebbeck , University of PennsylvaniaModifiers of Cancer Risk in BRCA1/2 Mutation Carriers: Study Design and Analysis Issues Giovanni Parmigiani , Johns Hopkins UniversitySusceptibility Prediction in Familial Colon Cancer Chris Amos , Department of EpidemiologyRisk Assessment for HNPCC Susan Domchek , University of PennsylvaniaGenetic Susceptibility Risk Models in Clinical Decision Making Ruth Pfeiffer , DCEG, NCICriteria for Assessment of Performance of Cancer Risk Prediction Models: Overview * Daniel McGee, Sr. , Florida State UniversityExamining validity and precision of prognostic models * Michael Kattan , Memorial Sloan-Kettering Cancer CenterComparing the accuracy of prediction methods Martin Schumacher , Institute fur Med. Biometrie und Med. Informatik des Universitatsklinikums FreiburgAssessment of prediction error of risk prediction models Daniela Seminara , CGERP/EGRP/DCCPS/NCI/NIHCurrent Population Resources for the Development and Validation of Cancer Risk and Susceptibility Prediction Models * *
