The use of modeling to understand the impact of screening on U.S. mortality: examples from mammography and PSA testing.

@article{Feuer2004TheUO,
  title={The use of modeling to understand the impact of screening on U.S. mortality: examples from mammography and PSA testing.},
  author={Eric J. Feuer and Ruth Etzioni and Kathleen A. Cronin and Angela B Mariotto},
  journal={Statistical methods in medical research},
  year={2004},
  volume={13 6},
  pages={421-42}
}
Surveillance data represent a vital resource for understanding the impact of cancer control interventions on the population cancer burden. However, population cancer trends are a complex product of many factors, and estimating the contribution of any one of these factors can be challenging. Surveillance modeling is a technique for estimating the contribution of one or more interventions of interest to trends in disease incidence and mortality. In this article, we present several approaches to… CONTINUE READING