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Scandinavian Journal of Urology Volume 51, 2017 - Issue 1
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Original Article

Crude mortality and loss of life expectancy of patients diagnosed with urothelial carcinoma of the urinary bladder in Norway

Bettina K. AndreassenDepartment of Research, Cancer Registry of Norway, Institute for Population-Based Research, Oslo, Norway; Correspondence[email protected]
,
Tor Å. MyklebustDepartment of Registration, Cancer Registry of Norway, Institute for Population-Based Research, Oslo, Norway;
&
Erik S. HaugVestfold Hospital Trust, Tønsberg, Norway; ;Institute of Cancer Genetics and Informatics (ICI), Oslo University Hospital, Oslo, Norway
Pages 38-43 | Received 23 Aug 2016, Accepted 08 Dec 2016, Published online: 13 Jan 2017

References

  • Cancer Registry of Norway. Cancer in Norway 2014 - Cancer incidence, mortality, survival and prevalence in Norway. Oslo: Cancer Registry of Norway; 2015. Available from: https://www.kreftregisteret.no/globalassets/cancer-in-norway/2014/cin2014-special_issue.pdf.
  • Socialstyrelsen Cancerfonden. Cancer i siffror 2013 – Populärvetenskapliga fakta om cancer. 2013. Available from: http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/19108/2013-6-5.pdf.
  • Cancer Research UK [Internet]. Bladder cancer statistics. Available from: http://www.cancerresearchuk.org/health-professional/cancer-statistics/statistics-by-cancer-type/bladder-cancer (accessed 2014 June 2).
  • Engholm G, Ferlay J, Christensen N, Kejs AMT, Johannesen TB, Khan S, et al. NORDCAN: cancer incidence, mortality, prevalence and survival in the Nordic countries, Version 7.2. Association of the Nordic Cancer Registries. Danish Cancer Society 2016.
  • Ferlay J, Soerjomataram I, Ervik M, Dikshit R, Eser S, Mathers C, et al. GLOBOCAN 2012 v1.0, Cancer incidence and mortality worldwide: IARC Cancer Base No. 11 [Internet]. Lyon, France: International Agency for Research on Cancer; 2013. Available from: http://globocan.iarc.fr (accessed 2016 April 15).
  • Putter H, Fiocco M, Geskus RB. Tutorial in biostatistics: competing risks and multi-state models. Stat Med 2007;26:2389–430.
  • Gail MH. Estimation and interpretation of models of absolute risk from epidemiologic data, including family-based studies. Lifetime Data Anal 2008;14:18–36.
  • Lambert P, Dickman P, Nelson C, Royston P. Estimating the crude probability of death due to cancer and other causes using relative survival models. Stat Med 2010;29:885–95.
  • Larsen IK, Smastuen M, Johannesen TB, Småstuen M, Johannesen TB, Langmark F, et al. Data quality at the Cancer Registry of Norway: an overview of comparability, completeness, validity and timeliness. Eur J Cancer 2009;45:1218–31.
  • Mostofi F, Sobin L, Tosoni I. Histological typing of urinary bladder tumours. International histological classification of tumours, No 19. Geneva: World Health Organization; 1973.
  • Raghunathan TE, Lepkowski JM, Van Hoewyk J, Van Hoewyk J, Solenberger P. A multivariate technique for multiply imputing missing values using a sequence of regression models. Surv Methodol 2001;27:85–96.
  • Van Buuren S. Multiple imputation of discrete and continuous data by fully conditional specification. Stat Methods Med Res 2007;16:219–42.
  • Rubin DB. Multiple imputation for nonresponse in surveys. New York: Wiley; 1987.
  • Rubin DB. Multiple imputation after 18+ years. J Am Stat Assoc 1996;91:473–89.
  • Dickman PW, Sloggett A, Hills M, Hakulinen T. Regression models for relative survival. Stat Med 2004;23:51–64.
  • Nelson CP, Lambert PC, Squire IB, Jones DR. Flexible parametric models for relative survival, with application in coronary heart disease. Stat Med 2007;26:5486–98.
  • Rutherford MJ, Crowther MJ, Lambert PC. The use of restricted cubic splines to approximate complex hazard functions in the analysis of time-to-event data: a simulation study. J Stat Comput Simul 2015;85:777–93.
  • Lambert PC, Royston P. Further development of flexible parametric models for survival analysis. Stata J 2009;9:265.
  • Hakama M, Hakulinen T. Estimating the expectation of life in cancer survival studies with incomplete follow-up information. J Chronic Dis 1977;30:585–97.
  • Andersson TML, Dickman PW, Eloranta S, Lambe M, Lambert PC. Estimating the loss in expectation of life due to cancer using flexible parametric survival models. Stat Med 2013;32:5286–300.
  • StataCorp. Stata statistical software: Release 14. College Station, TX: StataCorp; 2015.
  • Cronin KA, Feuer EJ. Cumulative cause-specific mortality for cancer patients in the presence of other causes: a crude analogue of relative survival. Stat Med 2000;19:1729–40.
  • Lambert PC, Holmberg L, Sandin F, Bray F, Karen M, Linklater KM, et al. Quantifying differences in breast cancer survival between England and Norway. Cancer Epidemiol 2011;35:526–33.
  • Eloranta S, Adolfsson J, Lambert PC, Stattin P, Akre O, Andersson TM, Dickman PW. How can we make cancer survival statistics more useful for patients and clinicians: an illustration using localized prostate cancer in Sweden. Cancer Causes Control 2013;24:505–15.
  • Feuer EJ, Lee M, Mariotto AB, Cronin KA, Scoppa S, Penson DF, et al. The Cancer Survival Query System: making survival estimates from the surveillance, epidemiology, and end results program more timely and relevant for recently diagnosed patients. Cancer 2012;118:5652–62.

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