Grant Number:	5U01CA088270-08 Interpret this number
Primary Investigator:	Lee, Sandra
Organization:	Dana-Farber Cancer Inst
Project Title:	Breast Cancer: Role of Early Detection, Treatment and Prevention
Fiscal Year:	2008

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.




Introduction to the Cancer Intervention and Surveillance Modeling Network (CISNET) Breast Cancer Models.
Authors: Alagoz O. , Berry D.A. , de Koning H.J. , Feuer E.J. , Lee S.J. , Plevritis S.K. , Schechter C.B. , Stout N.K. , Trentham-Dietz A. , Mandelblatt J.S. , et al. .
Source: Medical Decision Making : An International Journal Of The Society For Medical Decision Making, 2018 Apr; 38(1_suppl), p. 3S-8S.
PMID: 29554472
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Effects of mammography screening under different screening schedules: model estimates of potential benefits and harms.
Authors: Mandelblatt J.S. , Cronin K.A. , Bailey S. , Berry D.A. , de Koning H.J. , Draisma G. , Huang H. , Lee S.J. , Munsell M. , Plevritis S.K. , et al. .
Source: Annals Of Internal Medicine, 2009-11-17 00:00:00.0; 151(10), p. 738-47.
PMID: 19920274
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Mortality modeling of early detection programs.
Authors: Lee S.J. , Zelen M. .
Source: Biometrics, 2008 Jun; 64(2), p. 386-95.
PMID: 17725809
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A stochastic model for predicting the mortality of breast cancer.
Authors: Lee S. , Zelen M. .
Source: Journal Of The National Cancer Institute. Monographs, 2006; (36), p. 79-86.
PMID: 17032897
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Effect of screening and adjuvant therapy on mortality from breast cancer.
Authors: Berry D.A. , Cronin K.A. , Plevritis S.K. , Fryback D.G. , Clarke L. , Zelen M. , Mandelblatt J.S. , Yakovlev A.Y. , Habbema J.D. , Feuer E.J. , et al. .
Source: The New England Journal Of Medicine, 2005-10-27 00:00:00.0; 353(17), p. 1784-92.
PMID: 16251534
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Robust modeling in screening studies: estimation of sensitivity and preclinical sojourn time distribution.
Authors: Shen Y. , Zelen M. .
Source: Biostatistics (oxford, England), 2005 Oct; 6(4), p. 604-14.
PMID: 15860542
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Early detection of disease and scheduling of screening examinations.
Authors: Lee S. , Huang H. , Zelen M. .
Source: Statistical Methods In Medical Research, 2004 Dec; 13(6), p. 443-56.
PMID: 15587433
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Planning of randomized early detection trials.
Authors: Hu P. , Zelen M. .
Source: Statistical Methods In Medical Research, 2004 Dec; 13(6), p. 491-506.
PMID: 15587435
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Forward and backward recurrence times and length biased sampling: age specific models.
Authors: Zelen M. .
Source: Lifetime Data Analysis, 2004 Dec; 10(4), p. 325-34.
PMID: 15690988
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Modelling the early detection of breast cancer.
Authors: Lee S.J. , Zelen M. .
Source: Annals Of Oncology : Official Journal Of The European Society For Medical Oncology / Esmo, 2003 Aug; 14(8), p. 1199-202.
PMID: 12881377
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Testing the independence of two diagnostic tests.
Authors: Shen Y. , Wu D. , Zelen M. .
Source: Biometrics, 2001 Dec; 57(4), p. 1009-17.
PMID: 11764239
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