Additional common inputs for analyzing impact of adjuvant therapy and mammography on U.S. mortality

J Natl Cancer Inst Monogr. 2006:(36):26-9. doi: 10.1093/jncimonographs/lgj005.

Abstract

In estimating the impact of mammography and adjuvant treatment on U.S. breast cancer mortality rates, several parameters were common to all the Cancer Intervention and Surveillance Modeling Network (CISNET) models participating in the breast cancer base case. Models either used the parameters directly as input or calibrated their models to reproduce the common set of parameters. This chapter describes the common input parameters that are not specifically discussed elsewhere in the monograph.

Publication types

  • Review

MeSH terms

  • Adult
  • Age Distribution
  • Aged
  • Aged, 80 and over
  • Breast Neoplasms / diagnostic imaging*
  • Breast Neoplasms / drug therapy*
  • Breast Neoplasms / mortality
  • Chemotherapy, Adjuvant / statistics & numerical data
  • Cohort Studies
  • Cross-Sectional Studies
  • Diffusion of Innovation
  • Female
  • Humans
  • Mammography / statistics & numerical data*
  • Middle Aged
  • Models, Statistical*
  • Predictive Value of Tests
  • Prevalence
  • Risk Factors
  • SEER Program / statistics & numerical data
  • Sensitivity and Specificity
  • Survival Analysis
  • United States / epidemiology