|Grant Number:||5U01CA088270-06 Interpret this number|
|Primary Investigator:||Zelen, Marvin|
|Organization:||Dana-Farber Cancer Inst|
|Project Title:||Breast Cancer: Role of Early Detection, Treatment and P*|
DESCRIPTION (provided by applicant): It is planned to apply the stochastic model developed earlier to breast cancer issues associated with the U.S. population. Among the issues which will be studied are: estimating the U.S. breast cancer mortality for the period 2005-2020; investigate mortality for sub-populations; e.g. African-American, uninsured population and various scenarios; continue investigations of optimal screening schedules; investigate the role of the underreporting in SEER of invasive breast cancer following DCIS; investigate the influence on mortality if the number of women taking tamoxifen or reloxifene as a preventive agent is increased; develop a public web site (a) which will allow investigators to make use of our theoretical breast cancer model and (b) to communicate to the general public the breast cancer predicted mortality and false positive rate for any screening program.
A stochastic model for predicting the mortality of breast cancer.
Authors: Lee S, Zelen M
Source: J Natl Cancer Inst Monogr, 2006;null(36), p. 79-86.
Effect of screening and adjuvant therapy on mortality from breast cancer.
Authors: Berry DA, Cronin KA, Plevritis SK, Fryback DG, Clarke L, Zelen M, Mandelblatt JS, Yakovlev AY, Habbema JD, Feuer EJ, Cancer Intervention and Surveillance Modeling Network (CISNET) Collaborators
Source: N Engl J Med, 2005 Oct 27;353(17), p. 1784-92.
Early detection of disease and scheduling of screening examinations.
Authors: Lee S, Huang H, Zelen M
Source: Stat Methods Med Res, 2004 Dec;13(6), p. 443-56.
Modelling the early detection of breast cancer.
Authors: Lee SJ, Zelen M
Source: Ann Oncol, 2003 Aug;14(8), p. 1199-202.