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Brillinger, D.R.: The natural variability of vital rates and associated statistics (with discussion). Biometrics. 42, 693–734 (1986)
Capocaccia, R., De Angelis, R.: Estimating the completeness of prevalence based on cancer registry data. Statistics in Medicine. 16, 425–440 (1997)
Clegg, L.X., Gail, M.H., Feuer, E.J.: Estimating the variance of disease-prevalence. Estimates from population-based registries. Biometrics. 58, 684–688 (2002)
De Angelis, R., Capocaccia, R., Hakulinen, T., Soderman, B., Verdecchia, A.: Mixture models for cancer survival analysis: application population-based data with covariates. Statistics in Medicine. 18, 441–454 (1999)
DeGroot, M.H., Ferber, R., Frankel, M.R., Seneta, E., Watson, G.S.: Encyclopedia of statistical sciences. Wiley, New York (1988)
Dodge, Y.: Statistique Dictionnnaire encyclopédique. Dunod, Paris (1993)
Feldman, A.R., Kessler, L., Myers, M.H., Naughton, M.D.: The prevalence of cancer. Estimates based on the Connecticut Tumor Registry. New England Journal of Medicine. 315, 1394–1397 (1986)
Gail, M.H., Kessler, L., Midthune, D., Scoppa, S.: Two approaches for estimating disease prevalence from population-based registries of incidence and total mortality. Biometrics. 55, 1137–1144 (1999)
Gamel, J.W.: Proportion cured and mean long survival time as functions of tumor size. Statistics in Medicine. 9, 999–1006 (1990)
Goldman, A.I.: Survivorship analysis when cure is a possibility: a Monte carlo study. Statistics in Medicine. 3, 153–163 (1984)
Gras, C., Daures, J.P., Tretarre, B.: A computer software to estimate chronic disease age-and stage-specific incidence and prevalence using cancer registries data. In submission.
Keiding N.: Age-specific incidence and prevalence: A statistical perspective. Journal of the Royal Statistical Society, Series A. 154, 371–412 (1991)
Maller R., Zhou, X.: Survival analysis with long-term survivors. Wiley, New York (1996)
Merrill, R.M., Capocaccia, R., Feuer, E.J., Mariotto, A.: Cancer Prevalence Estimates Based on Tumor Registry Data in the SEER Program. International Journal of Epidemiology. 29, 197–207 (2000)
Surveillance, Epidemiology, and End Results (SEER) Program (www.seer.cancer.gov) SEER*Stat Database: Incidence-SEER 9 Regs, Nov 2002 Sub (1973–2000), National Cancer Institute, DCCPS, Surveillance Research Program, Cancer Statistics Branch, released April 2003, based on the November 2002 submission.
Surveillance, Epidemiology, and End Results (SEER) Program (www.seer.cancer.gov) SEER*Stat Database: Mortality-All COD, Public-Use With State, Total U.S. (1969–2000), National Cancer Institute, DCCPS, Surveillance Research Program, Cancer Statistics Branch, released April 2003. Underlying mortality data provided by NCHS (www.cdc.gov/nchs).
Surveillance, Epidemiology, and End Results (SEER) Program (www.seer.cancer.gov) SEER*Stat Database: Populations-Total U.S. (1969–2000), National Cancer Institute, DCCPS, Surveillance Research Program, Cancer Statistics Branch, released April 2003.
Verdecchia, A., Capocaccia, R.: A method for the estimation of chronic disease morbidity and trends from mortality data. Statistics in Medicine. 8, 201–216 (1989)
Verdecchia, A., De Angelis, R., Capocaccia, R., Sant, M., Micheli, A., Gatta, G., Berrino, F.: The cure for colon cancer: results from the EUROCARE study. International Journal of Cancer. 77, 322–329 (1998)
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Gras, C., Daurès, J., Tretarre, B. (2006). Three approaches for estimating prevalence of cancer with reversibility. Application to colorectal cancer. In: Nikulin, M., Commenges, D., Huber, C. (eds) Probability, Statistics and Modelling in Public Health. Springer, Boston, MA. https://doi.org/10.1007/0-387-26023-4_12
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