JSM 2004 - Toronto

Abstract #301581

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Activity Number: 200
Type: Contributed
Date/Time: Tuesday, August 10, 2004 : 9:00 AM to 10:50 AM
Sponsor: Section on Risk Analysis
Abstract - #301581
Title: An Interactive Web-based Program for Estimating Cancer Risk
Author(s): Edith A. Zang*+ and Shuquan Chen and Brian Pittman
Companies: Institute for Cancer Prevention and Institute for Cancer Prevention and Institute for Cancer Prevention
Address: 390 Fifth Ave., New York, NY, 10018,
Keywords: cancer risk ; logistic regression models ; risk estimation ; web-based program
Abstract:

An interactive module for estimating cancer risk through the Institute for Cancer Prevention's (IFCP) web site was developed to educate users on the preventable causes of cancer. Estimates of individual risks for lung, colorectal, prostate, and breast cancer are based on the users' responses to a set of questions. The risk estimates, presented as a score of 0 through 1 and through graphic displays, represent the conditional likelihood of developing cancer based on a set of risk factors that are significant in either a biological or a statistical sense. The score is calculated using a multiple logistic regression equation, for which the coefficients were obtained by fitting logistic regression models to large sets of data. Source data for the regression models included IFCP's long-term case-control study on lung cancer, a large case-control study on colorectal cancer, an ongoing IFCP study on prostate cancer, IFCP's ongoing Women's Intervention Nutritional Study on breast cancer, and SEER data. Users of the module are also provided with basic facts about these cancers, a description of the risk factors, methods used to estimate the risk, and appropriate references.

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