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REFERENCES

  • 1
    Surveillance, Epidemiology, and End Results (SEER) Program. http://seer.cancer.gov/. Accessed September 25, 2009.
  • 2
    Howlader N, Noone AM, Krapcho M, et al, eds. SEER Cancer Statistics Review, 1975-2008. Bethesda, MD: National Cancer Institute; 2011. http://seer.cancer.gov/csr/1975_2008/, based on November 2010 SEER data submission. Accessed July 5, 2011.
  • 3
    Ederer F, Axtell LM, Cutler SJ. The relative survival rate: a statistical methodology. Natl Cancer Inst Monogr. 1961; 6: 101-121.
  • 4
    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: 1729-1740.
  • 5
    Kattan MW, Scardino PT. Evidence for the usefulness of nomograms. Nat Clin Pract Urol. 2007; 4: 638-639.
  • 6
    Centers for Disease Control and Prevention. National Center for Health Statistics (US Life Tables). FastStats A to Z. http://www.cdc.gov/nchs/fastats/. Accessed September 25, 2009.
  • 7
    Centers for Medicare and Medicaid Services. http://www.cms.gov/. Accessed October 22, 2010.
  • 8
    Surveillance, Epidemiology, and End Results (SEER) Program. SEER Historical Coding and Staging Manuals. http://seer.cancer.gov/tools/codingmanuals/historical.html. Accessed September 27, 2009.
  • 9
    Surveillance, Epidemiology, and End Results (SEER) Program. SEER*Stat Database: Incidence-SEER 17 Regs, Nov. 2007 Sub (2000-2005) <Age Groups Including 85-89, 90-94, 95-99, and 100+, WITHOUT the Katrina/Rita Population Adjustment>-Linked To County Attributes-Total US, 1969-2005 Counties. Bethesda, MD: National Cancer Institute, Division of Cancer Control and Population Sciences, Surveillance Research Program, Cancer Statistics Branch; Year of publication 2009. Released February 2008, based on the November 2007 submission.
  • 10
    Surveillance, Epidemiology, and End Results (SEER) Program. SEER Registry Groupings for Analysis. http://seer.cancer.gov/registries/terms.html. Accessed April 13, 2011.
  • 11
    Howlader N, Ries LA, Mariotto AB, Reichman ME, Ruhl J, Cronin KA. Improved estimates of cancer-specific survival rates from population-based data. J Natl Cancer Inst. 2010; 102: 1584-1598.
  • 12
    Surveillance, Epidemiology, and End Results (SEER) Program. SEER Cancer-specific Death Classification. http://seer.cancer.gov/causespecific/index.html. Accessed October 31, 2010.
  • 13
    Prentice RL, Gloeckler LA. Regression analysis of grouped survival data with application to breast cancer data. Biometrics. 1978; 34: 57-67.
  • 14
    Feuer EJ, Lee M, Scoppa S, et al. Technical Report on the Cancer Survival Query System. Technical Report #2012-01. Bethesda, MD: Surveillance Research Program, National Cancer Institute; 2012. http://surveillance.cancer.gov/reports/. Accessed January 6, 2012.
  • 15
    Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987; 40: 373-383.
  • 16
    Klabunde CN, Potosky AL, Legler JM, Warren JL. Development of a comorbidity index using physician claims data. J Clin Epidemiol. 2000; 53: 1258-1267.
  • 17
    Klabunde CN, Legler JM, Warren JL, Baldwin LM, Schrag D. A refined comorbidity measurement algorithm for claims-based studies of breast, prostate, colorectal, and lung cancer patients. Ann Epidemiol. 2007; 17: 584-590.
  • 18
    Mariotto AB, Wesley MN, Cronin KA, Johnson KA, Feuer EJ. Estimates of long-term survival for newly diagnosed cancer patients: a projection approach. Cancer. 2006; 106: 2039-2050.
  • 19
    Percy C, Shanmugaratnam K, Whelan S, et al, eds. International Classification of Diseases for Oncology. 3rd ed. Geneva, Switzerland: World Health Organization; 2000.
  • 20
    Gleason DF. The Veteran's Administration Cooperative Urologic Research Group: histologic grading and clinical staging of prostatic carcinoma. In: Tannenbaum M, ed. Urologic Pathology: The Prostate. Philadelphia: Lea and Febiger; 1977: 171-198.
  • 21
    Carter HB, Allaf ME, Partin AW. Diagnosis and staging of prostate cancer. In: Wein AJ, Kavoussi LR, Novick AC, Partin AW, Peters CA, eds. Campbell-Walsh Urology. 9th ed. Philadelphia, PA: Saunders; 2007: 2912-2931.
  • 22
    Greene FL, Page DL, Fleming ID, et al, eds. AJCC Cancer Staging Manual. 6th ed. New York, NY: Springer-Verlag; 2002.
  • 23
    Durrleman S, Simon R. Flexible regression models with cubic splines. Stat Med. 1989; 8: 551-561.
  • 24
    DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988; 44: 837-845.
  • 25
    Kattan MW, Heller G, Brennan MF. A competing-risks nomogram for sarcoma-specific death following local recurrence. Stat Med. 2003; 22: 3515-3525.
  • 26
    Lee M, Cronin KA, Gail MH, Feuer EJ. Predicting the absolute risk of dying from colorectal cancer and from other causes using population-based cancer registry data. Stat Med. 2012; 31: 489-500.
  • 27
    National Cancer Institute, Division of Cancer Control and Population Sciences. Centers of Excellence in Communications Research Initiative. http://cancercontrol.cancer.gov/hcirb/ceccr/ceccr-index. html. Accessed July 6, 2011.