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Chapter 1: Modeling the Impact of Adjuvant Therapy and Screening Mammography on U.S. Breast Cancer Mortality Between 1975 and 2000: Introduction to the Problem
Correspondence to: Eric J. Feuer, PhD, Statistical Research and Applications Branch, Division of Cancer Control and Population Sciences, National Cancer Institute, 6116 Executive Blvd., Rm. 5041 MSC 8317, Bethesda, MD 20892-8317 (e-mail: feuerr@mail.nih.gov).
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BACKGROUND |
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The Cancer Intervention and Surveillance Modeling Network (CISNET) (http://cisnet.cancer.gov) is a consortium of National Cancer Institute (NCI)–sponsored investigators whose focus is modeling the impact of cancer control interventions on population trends in incidence and mortality for breast, prostate, colorectal, and lung cancer. These models are also used to project future trends and to help determine optimal cancer control strategies.
Although each investigator has pursued research questions of individual interest, the breast group, consisting of seven principal investigators and their coinvestigators, agreed to collaborate to answer the following question: "What is the Impact of Adjuvant Therapy and Screening Mammography on U.S. Breast Cancer Mortality, 1975–2000"? The idea of this comparative modeling approach was to have each group synthesize existing, and sometimes conflicting, knowledge to build models of breast cancer treatment and screening, using certain specified common population-level inputs. Because there was considerable room for variation in approaches, the desire
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PURPOSE |
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MODEL INPUTS |
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MODELS |
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MODEL RUNS |
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MODEL COMPARISONS |
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MONOGRAPH OUTLINE |
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