Fax: (301) 480-2046
Predicting US- and state-level cancer counts for the current calendar year†
Part I: evaluation of temporal projection methods for mortality
Article first published online: 6 JAN 2012
Copyright © 2012 American Cancer Society
Volume 118, Issue 4, pages 1091–1099, 15 February 2012
How to Cite
Chen, H.-S., Portier, K., Ghosh, K., Naishadham, D., Kim, H.-J., Zhu, L., Pickle, L. W., Krapcho, M., Scoppa, S., Jemal, A. and Feuer, E. J. (2012), Predicting US- and state-level cancer counts for the current calendar year. Cancer, 118: 1091–1099. doi: 10.1002/cncr.27404
See companion article on pages 1100-1109, this issue.
- Issue published online: 3 FEB 2012
- Article first published online: 6 JAN 2012
- Manuscript Accepted: 12 DEC 2011
- Manuscript Revised: 15 NOV 2011
- Manuscript Received: 17 OCT 2011
- National Institutes of Health (NIH). Grant Number: HHSN261201000671P
- NIH. Grant Number: HHSN261201000509
- NIH. Grant Number: HHSN261201100094P
- 1American Cancer Society. Cancer Facts & Figures 1953. New York, NY: American Cancer Society; 1953.
- 2American Cancer Society. Cancer Facts & Figures 1961. New York, NY: American Cancer Society; 1961
- 9National Cancer Institute, Surveillance, Epidemiology, and End Results. http://seer.cancer.gov/. Accessed on October 11, 2011.
- 10Time Series Models, 2nd ed. Cambridge, MA: MIT Press; 1993.
- 11A new approach to linear filtering and prediction problems. J Basic Eng. 1960; 82: 35-45..
- 12R Development Core Team. R: A language and environment for statistical computing, reference index version 2.13. Vienna, Austria: R Development Core Team; 2011. http://www.R-project.org.
- 13Bayesian Forecasting and Dynamic Models. New York, NY: Springer; 1997., .
- 17Predicting US- and state-level cancer counts for the current calendar year: part II: evaluation of spatiotemporal projection methods for incidence. Cancer. 2011; 117: 1100-1109., , , et al.