Forecasting the Incidence of Cancer in Regional Victoria, Australia

References

• AIHW . ( 2005 ). Cancer Incidence Projections, Australia 2002 to 2011 . Cancer Series. Canberra : Australian Institute of Health and Welfare .
   Google Scholar
• AIHW. ( 2008a ). Cancer in Australia: An Overview, 2008 . Cancer Series. Canberra : Australian Institute of Health and Welfare .
   Google Scholar
• AIHW. ( 2008b ). Cancer Survival and Prevalence in Australia: Cancers Diagnosed from 1982 to 2004 . Cancer Series. Canberra : Australian Institute of Health and Welfare .
   Google Scholar
• Barber , T. , Brown , N. , Hamilton-Keene , R. , Hartney , P. , Mills , T. ( 2009 ). Forecasting for cancer services . Nosokinetics News 6 ( 2 ): 2 – 3 .
   Google Scholar
• Bouée , S. , Grosclaude , P. , Alfonsi , A. , Florentin , V. , Clavel , F. , Fagnani , F. ( 2010 ). Projection de l'incidence du cancer du sein en 2018 en France . Bull. Cancer. 97 ( 3 ): 293 – 299 .
   PubMed Web of Science ®Google Scholar
• Clayton , D. , Schifflers , E. ( 1987a ). Models for temporal variation in cancer rates I: Age-period and age-cohort models . Statist. Med. 6 ( 4 ): 449 – 467 .
   PubMed Web of Science ®Google Scholar
• Clayton , D. , Schifflers , E. ( 1987b ). Models for temporal variation in cancer rates II: Age-period-cohort models . Statist. Med. 6 ( 4 ): 469 – 481 .
   PubMed Web of Science ®Google Scholar
• Clèries , R. , Ribes , J. , Esteban , L. , Martinez , J. M. , Borràs , J. M. ( 2006 ). Time trends of breast cancer mortality in Spain during the period 1977–2001 and Bayesian approach for projections during 2002–2016 . Ann. Oncol. 17 ( 12 ): 1783 – 1791 .
   PubMed Web of Science ®Google Scholar
• Day , N. E. , Charnay , B. ( 1982 ). Time trends, cohort effects, aging as influence on cancer incidence . In: Magnus , K. Ed. , Trends in Cancer Incidence: Causes and Practical Implications . Washington : Hemisphere Publishing , pp. 51 – 65 .
   Google Scholar
• DHS . ( 2009 ). Victoria's Cancer Action Plan 2008–2011 . Melbourne : Department of Human Services . http://www.health.vic.gov.au/cancer/vcap.htm.
   Google Scholar
• Dyba , T. ( 2000 ). Precision of cancer incidence predictions based on Poisson distributed observations. Doctoral thesis, Faculty of Social Science, Helsinki, University of Helsinki .
   Google Scholar
• Dyba , T. , Hakulinen , T. ( 2000 ). Comparison of different approaches to incidence prediction based on simple interpolation techniques . Statist. Med. 19 ( 13 ): 1741 – 1752 .
   PubMed Web of Science ®Google Scholar
• Dyba , T. , Hakulinen , T. (2008). Do cancer predictions work? Eur. J. Cancer 44(3):448–453.
   PubMed Web of Science ®Google Scholar
• Dyba , T. , Hakulinen , T. , Paivarinta , L. ( 1997 ). A simple non-linear model in incidence prediction . Statist. Med. 16 ( 20 ): 2297 – 2309 .
   PubMed Web of Science ®Google Scholar
• Elkum , N. B. ( 2005 ). Predicting confidence intervals for the age-period-cohort model . J. Data Sci. 3 ( 4 ): 403 – 414 .
   Google Scholar
• English , D. , Farrugia , H. , Thursfield , V. , Chang , P. , Giles , G. ( 2007 ) Cancer Survival Victoria 2007 . Melbourne : Cancer Council of Victoria .
   Google Scholar
• Erbas , B. , Hyndman R. J., Gertig , D. ( 2007 ). Forecasting age-specific breast cancer mortality using functional data models . Statist. Med. 26 ( 2 ): 458 – 470 .
   PubMed Web of Science ®Google Scholar
• Estève , J. , Benhamou , E. , Raymond , L. ( 1994 ). Statistical Methods in Cancer Research. Vol. 1 V: Descriptive Epidemiology . Lyon : International Agency for Research on Cancer .
   Google Scholar
• Frost , W. ( 1939 ). The age selection of mortality from tuberculosis in successive decades . American J. Epidemiol. 30 ( Sec. A ): 91 – 96 .
   Google Scholar
• Fujimoto , I. , Hanai , A. , Tominaga , S. , Kuroishi , T. ( 1988 ). Predictions of the incidence of cancer in Japan in the year 2000 [in Japanese] . Gan No Rinsho. 34 ( 14 ): 1911 – 1916 .
   PubMedGoogle Scholar
• Hakulinen , T. , Dyba , T. ( 1994 ). Precision of incidence predictions based on Poisson distributed observations . Statist. Med. 13 ( 15 ): 1513 – 1523 .
   PubMed Web of Science ®Google Scholar
• Hakulinen , T. , Pukkala , E. ( 1981 ). Future incidence of lung cancer: Forecasts based on hypothetical changes in the smoking habilts of males . Int. J. Epidemiol. 10 ( 3 ): 233 – 240 .
   PubMed Web of Science ®Google Scholar
• Hakulinen , T. , Teppo , L. , Saxén , E. ( 1986 ). Do the predictions for cancer incidence come true? Experience from Finland . Cancer 57 ( 12 ): 2454 – 2458 .
   PubMed Web of Science ®Google Scholar
• Hristova , L. , Dimova , I. , Iltcheva , M. ( 1997 ). Projected cancer incidence rates in Bulgaria, 1968–2017 . Int. J. Epidemiol. 26 ( 3 ): 469 – 475 .
   PubMedGoogle Scholar
• Holford , T. R. ( 2006 ). Approaches to fitting age-period-cohort models with unequal intervals . Statist. Med. 25 ( 6 ): 977 – 993 .
   PubMed Web of Science ®Google Scholar
• Hyndman , R. J. , Ullah , S. ( 2005 ). Robust forecasting of mortality and fertility rates: a functional data approach. Department of Econometrics and Business Statistics, Working Papers. Melbourne: Monash University .
   Google Scholar
• Kupper , L. L. , Janis , J. M. , Karmons , A. , Greenberg , B. G. ( 1985a ). Statistical age-period-cohort analysis: A review and critique . J. Chron. Dis. 38 ( 10 ): 811 – 830 .
   PubMedGoogle Scholar
• Kupper , L. L. , Janis , J. M. , Karmons , A. , Greenberg , B. G. ( 1985b ). Authors’ reply . J. Chron. Dis. 38 ( 10 ): 837 – 840 .
   Google Scholar
• Landon , J. , Singpurwalla , N. D. ( 2008 ). Choosing a coverage probability for prediction intervals . Amer. Statistician. 62 ( 2 ): 120 – 124 .
   Web of Science ®Google Scholar
• Magnus , K. , Ed. ( 1982 ). Trends in Cancer Incidence. Causes and Practical Implications . Washington : Hemisphere Publishing Corp .
   Google Scholar
• Møller , B. , Fekjætr , H. , Hakulinen , T. , Sigvaldson , H. , Storm , H. , Talbäck , M. , Haldorsen , T. ( 2003 ). Prediction of cancer incidence in the Nordic countries: empirical comparison of different approaches . Statist. Med. 22 ( 17 ): 2751 – 2766 .
   PubMed Web of Science ®Google Scholar
• Møller , B. , Fekjætr , H. , Hakulinen , T. , Tryggvadóttir , L. , Storm , H. , Talbäck , M. , Haldorsen , T. ( 2002 ). Prediction of cancer incidence in the Nordic countries up to the year 2020 . Eur. J. Cancer Prevent. 11 ( Supplement 1 ): S1 – S96 .
   PubMedGoogle Scholar
• Morrison , H. I. , MacNeill , I. B. , Miller , D. , Levy , I. , Xie , L. , Mao , Y. ( 1995 ). The impending Canadian prostate cancer epidemic . Can. J. Public Health 86 ( 4 ): 274 – 278 .
   PubMed Web of Science ®Google Scholar
• Mills , T. ( 2012 ). Concepts in epidemiology: the cohort effect . Med. J. Austral. 196 ( 5 ): 311 .
   PubMed Web of Science ®Google Scholar
• Negri , E. , La Vecchia , C. , Decarli , A. , Boyle , P. ( 1990 ). Projections to the end of the century of mortality from major cancer sites in Italy . Tumori. 76 ( 5 ): 420 – 428 .
   PubMed Web of Science ®Google Scholar
• New Zealand Ministry of Health. ( 2002 ). Cancer in New Zealand: Trends and Projections . Wellington : Ministry of Health .
   Google Scholar
• Osmond , C. , Gardner , M. J. ( 1982 ). Age, period and cohort models applied to cancer mortality rates . Statist. Med. 1 ( 3 ): 245 – 259 .
   PubMedGoogle Scholar
• Pickle , L. W. , Hao , Y. , Jemal , A. , Zou , Z. , Tiwari , R. C. , Ward , E. , Hachey , M. , Howe , H. L. , Feuer , E. J. ( 2007 ). A new method for estimating United States and state-level cancer incidence counts for the current calendar year . CA: Cancer J. Clin. 57 ( 1 ): 30 – 42 .
   PubMed Web of Science ®Google Scholar
• Pisani , P. , Bray , F. , Parkin , D. M. (2002). Estimates of world-wide prevalence of cancer for 25 sites in the adult population. Int. J. Cancer 97:72–81.
   PubMed Web of Science ®Google Scholar
• R Development Core Team. ( 2008 ). R: A Language and Environment for Statistical Computing . Vienna : R Foundation for Statistical Computing . http://www.R-project.org .
   Google Scholar
• Ramsay , J. O. , Silverman , B. W. ( 2002 ). Applied Functional Data Analysis . New York : Springer-Verlag .
   Google Scholar
• Ramsay , J. O. , Silverman , B. W. ( 2005 ). Functional Data Analysis. , 2nd ed. New York : Springer-Verlag .
   Google Scholar
• Ramsay , J. O. , Hooker , G. , Graves , S. ( 2009 ). Functional Data Analysis with R and MATLAB . Dordrecht : Springer .
   Google Scholar
• Roush , G. C. , Holford , T. R. , Schymura , M. J. , White , C. ( 1987 ). Cancer Risk and Incidence Trends: The Connecticut Perspective . Cambridge : Hemisphere Publishing Corporation .
   Google Scholar
• Scottish Executive Health Department . ( 2004 ). Cancer in Scotland: Sustaining Change. Cancer Incidence Projections for Scotland (2001–2020). An Aid to Planning Cancer Services . Edinburgh : Scottish Executive , Available at URL: http://www.scotland. gov.uk/Publications/2004/12/20257/46696.
   Google Scholar
• Teppo , L. , Hakulinen , T. , Saxén , E. ( 1974 ). The prediction of cancer incidence in Finland for the year 1980 by means of cancer registry material . Ann. Clin. Res. 6 ( 2 ): 122 – 125 .
   PubMedGoogle Scholar
• Tiwari , R. C. , Ghosh , K. , Jemal , A. , Hachey , M. , Ward , E. , Thun , M. J. , Feuer , E. J. ( 2004 ). A new method for predicting US and state-level cancer mortality counts for the current calendar year . CA: Cancer J. Clin. 54 ( 1 ): 30 – 40 .
   PubMedGoogle Scholar
• White , C. , Wade , R. , Howe , J. , Steward , J. ( 2006 ). Projection of incidence and mortality for cancer of the large bowel to 2015. WCISU Occasional Report. Welsh Cancer Intelligence & Surveillance Unit. Available at URL: http://www.wales.nhs.uk/sites3/ Documents/242/OR_S0601_050106b.pdf
   Google Scholar
• Yang , L. , Parkin , D. , Ferlay , J. Li , L., Chen , Y. ( 2005 ). Estimates of cancer incidence in China for 2000 and projections for 2005 . Cancer Epidemiol. Biomarkers Prevent. 14 ( 1 ): 243 – 250 .
   PubMed Web of Science ®Google Scholar