Presentations

The following presentations (in PDF format except where noted) were presented at the 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.

Laura Esserman, UCSF Medical Center, Mt. Zion Hospital
Clinical Applications of Risk Prediction Models (2.5 MB)

Karen Kuntz, Harvard School of Public Health
Estimating the Burden of Disease: Examining the impact of changing risk factors on colorectal cancer incidence and mortality (151 KB)

Joseph Costantino, Graduate School of Public Health, University of Pittsburgh
Cancer Risk Prediction Models: A Workshop on Development, Evaluation, and Application (219 KB)

Jack Cuzick, Imperial Cancer Research Fund
Epidemiology of Breast Cancer: Selected Highlights (217 KB)

Mitchell Gail, DCEG, NCI
Designs for Developing and Evaluating Models of Absolute Risk (66 KB)

Bernard Rosner, Harvard Medical School, Brigham and Women's Hospital
Breast Cancer Risk Prediction: Impact of Time-Dependent Risk Factors and Heterogeneity by ER/PR Receptor Status (29 KB)

Beverly Rockhill, University of North Carolina, Chapel Hill
The Problem with Individual Risk (48 KB)

Colin Begg, Memorial Sloan-Kettering Cancer Center
Conceptual Issues in Risk Prediction (47 KB)

Lisa Sullivan, Boston University
Lessons Learned From Cardiovascular Risk Models: Experience from the Framingham Study (167 KB)

Antonis Antoniou, CR-UK Genetic Epidemiology Unit, University of Cambridge
The BOADICEA model of genetic susceptibility to breast and ovarian cancer: updating, validation, predictions (427 KB)

Timothy Rebbeck, University of Pennsylvania
Modifiers of Cancer Risk in BRCA1/2 Mutation Carriers: Study Design and Analysis Issues (498 KB)

Giovanni Parmigiani, Johns Hopkins University
Susceptibility Prediction in Familial Colon Cancer (305 KB)

Chris Amos, Department of Epidemiology
Risk Assessment for HNPCC (2.9 MB)

Susan Domchek, University of Pennsylvania
Genetic Susceptibility Risk Models in Clinical Decision Making (65 KB)

Ruth Pfeiffer, DCEG, NCI
Criteria for Assessment of Performance of Cancer Risk Prediction Models: Overview (182 KB) *

Daniel McGee, Sr., Florida State University
Examining validity and precision of prognostic models (582 KB) *

Michael Kattan, Memorial Sloan-Kettering Cancer Center
Comparing the accuracy of prediction methods (179 KB)

Martin Schumacher, Institute fur Med. Biometrie und Med. Informatik des Universitatsklinikums Freiburg
Assessment of prediction error of risk prediction models (996 KB)

Daniela Seminara, CGERP/EGRP/DCCPS/NCI/NIH
Current Population Resources for the Development and Validation of Cancer Risk and Susceptibility Prediction Models (1.1 MB) *

* These presentations were not included in the meeting notebook as they were received onsite.