Institute for Technology Assessment, Massachusetts General Hospital, Boston, MA, USA.
Section III: Comparative Results
Chapter 13: CISNET Lung Models: Comparison of Model Assumptions and Model Structures
Article first published online: 7 AUG 2012
© 2011 Society for Risk Analysis
Special Issue: The Impact of the Reduction in Tobacco Smoking on U.S. Lung Cancer Mortality (1975-2000): Collective Results from the Cancer Intervention and Surveillance Modeling Network (CISNET)
Volume 32, Issue Supplement s1, pages S166–S178, August 2012
How to Cite
McMahon, P. M., Hazelton, W. D., Kimmel, M. and Clarke, L. D. (2012), Chapter 13: CISNET Lung Models: Comparison of Model Assumptions and Model Structures. Risk Analysis, 32: S166–S178. doi: 10.1111/j.1539-6924.2011.01714.x
- Issue published online: 7 AUG 2012
- Article first published online: 7 AUG 2012
- Lung cancer;
- population trends;
- tobacco control
Sophisticated modeling techniques can be powerful tools to help us understand the effects of cancer control interventions on population trends in cancer incidence and mortality. Readers of journal articles are, however, rarely supplied with modeling details. Six modeling groups collaborated as part of the National Cancer Institute's Cancer Intervention and Surveillance Modeling Network (CISNET) to investigate the contribution of U.S. tobacco-control efforts toward reducing lung cancer deaths over the period 1975–2000. The six models included in this monograph were developed independently and use distinct, complementary approaches toward modeling the natural history of lung cancer. The models used the same data for inputs, and agreed on the design of the analysis and the outcome measures. This article highlights aspects of the models that are most relevant to similarities of or differences between the results. Structured comparisons can increase the transparency of these complex models.