Cancer Control and Population Sciences Home
Publications:
Technical Reports
Report Number* |
Suggested Citation |
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2012-01 | Feuer EJ, Lee M, Scoppa S, Hachey MS, Zou Z, Campbell D, Hankey BF. Technical Report on the Cancer Survival Query System. Surveillance Research Program, National Cancer Institute; 2012. Technical Report #2012-01 [updated 2012 Oct 15]. Available from: http://surveillance.cancer.gov/reports/. |
2011-01 | Cho H, Howlader N, Mariotto AB, Cronin KA. Estimating relative survival for cancer patients from the SEER Program using expected rates based on Ederer I versus Ederer II method. Surveillance Research Program, National Cancer Institute; 2011. Technical Report #2011-01. Available from: http://surveillance.cancer.gov/reports/. |
2009-02 | Dunn M, Zou J. AAPC for the Joinpoint Connect-the-Dots Scenario. Statistical Research and Applications Branch, National Cancer Institute; 2009. Technical Report #2009-02. Available from: http://surveillance.cancer.gov/reports/. |
2009-01 | Zou J, Huang L, Midthune D, Horner MJ, Krapcho M, Feuer EJ. Effect of reporting year on delay modeling. Statistical Research and Applications Branch, National Cancer Institute; 2009. Technical Report #2009-01. Available from: http://surveillance.cancer.gov/reports/. |
2008-01 | Mariotto A, De Angelis R. The Method to Estimate Breast Cancer Prevalence at State Level: 2005-2015. Statistical Research and Applications Branch, National Cancer Institute; 2008. Technical Report #2008-01. Available from: http://surveillance.cancer.gov/reports/. |
2007-02 | Yu B, Huang L, Tiwari RC, Johnson KA, Feuer EJ. Modeling Population-Based Cancer Survival Trends Using Joinpoint Survival Models. Statistical Research and Applications Branch, National Cancer Institute; 2007. Technical Report #2007-02. Available from: http://surveillance.cancer.gov/reports/. |
2003-05 | Boer R, Ries L, van Ballegooijen M, Feuer E, Legler J, Habbema D. Ambiguities In Calculating Cancer Patient Survival: The SEER Experience for Colorectal and Prostate Cancer. Statistical Research and Applications Branch, National Cancer Institute; 2003. Technical Report #2003-05. Available from: http://surveillance.cancer.gov/reports/. |
2003-04 | Cronin K, Feuer E, Wesley M, Mariotto A, Scoppa S, Green D. Current Estimates for 5 and 10 Year Relative Survival. Statistical Research and Applications Branch, National Cancer Institute; 2003. Technical Report #2003-04. Available from: http://surveillance.cancer.gov/reports/. |
2003-03 2003-03-A |
This technical report has been published in updated form as: Fay MP. Estimating age conditional probability of developing disease from surveillance data. Popul Health Metr 2004 Jul 27;2(1):6. [http://www.pophealthmetrics.com/content/2/1/6] |
2003-02-A | The technical report has been updated and corrected as: Cronin K, Mariotto A, Scoppa S, Green D, Clegg L. Differences Between Brenner et al. and NCI Methods for Calculating Period Survival. Statistical Research and Applications Branch, National Cancer Institute; 2003. Technical Report #2003-02-A. Available from: http://surveillancecancer.gov/reports/. The older version is still available: |
2002-01 | Fay MP, Pfeiffer R, Cronin KA, Le C, and Feuer EJ. Comparison of Two Methods for Calculating Age-Conditional Probabilities of Developing Cancer. Statistical Research and Applications Branch, National Cancer Institute; 2002. Technical Report #2002-01. Available from: http://surveillance.cancer.gov/reports/. |
* Several of the technical reports contain complex figures and mathematical equations that may not be accessible to those using assistive technology (such as a screen reader or other adaptive tool). For help in interpreting figures and formulas, e-mail webaccessibility@imsweb.com and include the web address and/or publication title in the message.