Abstract

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.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project--Cooperative Agreements (U01)
Project #
3U01CA088270-08S1
Application #
7916304
Study Section
Special Emphasis Panel (ZCA1-SRRB-K (M1))
Program Officer
Cronin, Kathleen A
Project Start
2009-08-01
Project End
2010-07-31
Budget Start
2009-08-01
Budget End
2010-07-31
Support Year
8
Fiscal Year
2009
Total Cost
$99,784
Indirect Cost

  Institution

Name
Dana-Farber Cancer Institute
Department
Type
DUNS #
076580745
City
Boston
State
MA
Country
United States
Zip Code
02215

  Publications

Alagoz, Oguzhan; Berry, Donald A; de Koning, Harry J et al. (2018) Introduction to the Cancer Intervention and Surveillance Modeling Network (CISNET) Breast Cancer Models. Med Decis Making 38:3S-8S
Mandelblatt, Jeanne S; Cronin, Kathleen A; Bailey, Stephanie et al. (2009) Effects of mammography screening under different screening schedules: model estimates of potential benefits and harms. Ann Intern Med 151:738-47
Lee, Sandra J; Zelen, Marvin (2008) Mortality modeling of early detection programs. Biometrics 64:386-95
Lee, Sandra; Zelen, Marvin (2006) A stochastic model for predicting the mortality of breast cancer. J Natl Cancer Inst Monogr :79-86
Berry, Donald A; Cronin, Kathleen A; Plevritis, Sylvia K et al. (2005) Effect of screening and adjuvant therapy on mortality from breast cancer. N Engl J Med 353:1784-92
Shen, Yu; Zelen, Marvin (2005) Robust modeling in screening studies: estimation of sensitivity and preclinical sojourn time distribution. Biostatistics 6:604-14
Lee, Sandra; Huang, Hui; Zelen, Marvin (2004) Early detection of disease and scheduling of screening examinations. Stat Methods Med Res 13:443-56
Hu, Ping; Zelen, Marvin (2004) Planning of randomized early detection trials. Stat Methods Med Res 13:491-506
Zelen, Marvin (2004) Forward and backward recurrence times and length biased sampling: age specific models. Lifetime Data Anal 10:325-34
Lee, S J; Zelen, M (2003) Modelling the early detection of breast cancer. Ann Oncol 14:1199-202

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