Introduction to the Cancer Intervention and Surveillance Modeling Network (CISNET) Breast Cancer Models

Oguzhan Alagoz, Donald A. Berry, Harry J. de Koning, Eric J. Feuer, Sandra J. Lee, Sylvia K. Plevritis, Clyde B. Schechter, Natasha K. Stout, Amy Trentham-Dietz and Jeanne S. Mandelblatt
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Oguzhan Alagoz: Department of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, WI, USA
Donald A. Berry: Department of Biostatistics, University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
Harry J. de Koning: Department of Public Health, Erasmus Medical Center, Rotterdam, the Netherlands
Eric J. Feuer: Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, USA
Sandra J. Lee: Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard Medical School and Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA
Sylvia K. Plevritis: Department of Radiology, School of Medicine, Stanford University, Stanford, CA, USA
Clyde B. Schechter: Departments of Family and Social Medicine and Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
Natasha K. Stout: Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
Amy Trentham-Dietz: Department of Population Health Sciences and Carbone Cancer Center, University of Wisconsin–Madison, Madison, WI, USA
Jeanne S. Mandelblatt: Department of Oncology, Georgetown University Medical Center and Cancer Prevention and Control Program, Georgetown-Lombardi Comprehensive Cancer Center, Washington, DC, USA

Medical Decision Making, 2018, vol. 38, issue 1_suppl, 3S-8S

Abstract: The Cancer Intervention and Surveillance Modeling Network (CISNET) Breast Cancer Working Group is a consortium of National Cancer Institute–sponsored investigators who use statistical and simulation modeling to evaluate the impact of cancer control interventions on long-term population-level breast cancer outcomes such as incidence and mortality and to determine the impact of different breast cancer control strategies. The CISNET breast cancer models have been continuously funded since 2000. The models have gone through several updates since their inception to reflect advances in the understanding of the molecular basis of breast cancer, changes in the prevalence of common risk factors, and improvements in therapy and early detection technology. This article provides an overview and history of the CISNET breast cancer models, provides an overview of the major changes in the model inputs over time, and presents examples for how CISNET breast cancer models have been used for policy evaluation.

Keywords: breast cancer control; breast cancer epidemiology; cancer simulation; simulation models (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:sae:medema:v:38:y:2018:i:1_suppl:p:3s-8s

DOI: 10.1177/0272989X17737507

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