Technical Reports

Report
Number (PDF)*
Suggested Citation
2018-01 (PDF, 674 KB)

Chen HS, Liu B, Cucinelli J. Detecting outliers with sample size adjustment in the SEER Box Plot Outlier Tool. Surveillance Research Program, NCI, Technical Report #2018-01. Available from: https://surveillance.cancer.gov/reports/

2015-01 (PDF, 404 KB)

Ries LAG, Edwards BK. Data Nuances – Tips in analyzing Collaborative Stage (CS) data with a focus on CS version 2 for data 2010+ (November 2012 and 2013 SEER data submissions). Surveillance Research Program, NCI, Technical Report #2015-01. Available from: https://surveillance.cancer.gov/reports/

This report is a technical appendix to the articles published in a supplement to Cancer (https://seer.cancer.gov/publications/collabstaging/).

2014-01 (PDF, 1.0 MB) Chen HS, Zou J, Midthune D, Krapcho M, Scoppa S, Feuer EJ. Variance of Delay-adjusted Age-adjusted Rates. Surveillance Research Program, NCI, Technical Report #2014-01. Available from: https://surveillance.cancer.gov/reports/.
2013-02 (PDF, 163 KB) Cronin KA, Miglioretti DL, Krapcho M, Yu B, Geller BM, Carney PA, Onega T, Feuer EJ, Breen N, Ballard-Barbash R. Appendix - CEBP Focus on Cancer Surveillance: Bias Associated With Self-Report of Prior Screening Mammography. Surveillance Research Program, NCI, Technical Report #2013-02. Available from: https://surveillance.cancer.gov/reports/.
2013-01 (PDF, 1.3 MB) Xiong X, Hankey BF. Projecting Health Status Adjusted Age to Younger Ages as a Function of Comorbidity Score and Age at Diagnosis for the Cancer Survival Query System. Surveillance Research Program, National Cancer Institute, Technical Report #2013-01. Available from: https://surveillance.cancer.gov/reports/.

Appendix I - Projecting Health Status Adjusted Age to Younger Ages (XLS) (XLSX, 1.2 MB)

2012-02 (PDF, 857 KB) National Cancer Institute Cancer Counts Prediction Workgroup. Technical Details of Predicting US and State-Level Cancer Counts for the Current Calendar Year. Surveillance Research Program, National Cancer Institute; 2012. Technical Report #2012-02. Available from: https://surveillance.cancer.gov/reports/.
2012-01 (PDF, 3.0 MB) 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: https://surveillance.cancer.gov/reports/.
2011-01 (PDF, 638 KB) 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: https://surveillance.cancer.gov/reports/.
2009-02 (PDF, 1024 KB) 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: https://surveillance.cancer.gov/reports/.
2009-01 (PDF, 541 KB) 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: https://surveillance.cancer.gov/reports/.
2008-01 (PDF, 154 KB) 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: https://surveillance.cancer.gov/reports/.
2007-02 (PDF, 1.6 MB) 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: https://surveillance.cancer.gov/reports/.
2003-05 (PDF, 879 KB) 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: https://surveillance.cancer.gov/reports/.
2003-04 (PDF, 357 KB) 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: https://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/2/1/6External Website Policy]

The older versions are still available:
2003-03 (PDF, 792 KB)
2003-03-A (PDF, 613 KB)

2003-02-A (PDF, 258 KB) 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:
2003-02 (PDF, 504 KB)

2002-01 (PDF, 898 KB) 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: https://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.