Maximizing the benefits of model-based period analysis of cancer patient survival

Cancer Epidemiology Biomarkers and Prevention

Volumn 16, Issue 8, 2007, Pages 1675-1681

  Brenner, Hermann ^a   Hakulinen, Timo ^b  

^a GERMAN CANCER RESEARCH CENTER DKFZ   (Germany)

^b FINNISH CANCER REGISTRY   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADULT; ARTICLE; CANCER; CANCER PATIENT; CANCER SURVIVAL; CLINICAL EVALUATION; DATA ANALYSIS; DISEASE REGISTRY; EMPIRICAL RESEARCH; HUMAN; MAJOR CLINICAL STUDY; PRIORITY JOURNAL; PROGNOSIS; STATISTICAL MODEL; SURVIVAL TIME;

FINLAND; HUMANS; NEOPLASMS; PROBABILITY; PROGNOSIS; PROPORTIONAL HAZARDS MODELS; REGISTRIES; SURVIVAL ANALYSIS; TIME FACTORS;

EID: 34548099687     PISSN: 10559965     EISSN: None     Source Type: Journal    
DOI: 10.1158/1055-9965.EPI-06-1046     Document Type: Article

References (27)

1. Brenner H, Gefeller O. An alternative approach to monitoring cancer patient survival. Cancer 1996;78:2004-10.
2. Brenner H, Hakulinen T. Advanced detection of time trends in long-term cancer patient survival: experience from 50 years of cancer registration in Finland. Am J Epidemiol 2002;156:566-77.
3. Brenner H, Hakulinen T. Up to date survival curves of patients with cancer by period analysis. J Clin Oncol 2002;20:826-32.
4. Brenner H, Söderman B, Hakulinen T. Use of period analysis for providing more up-to-date estimates of long-term survival rates: empirical evaluation among 370,000 cancer patients in Finland. Int J Epidemiol 2002;31:456-62.
5. Talbäck M, Stenbeck M, Rosén M. Up-to-date long-term survival of cancer patients: an evaluation of period analysis on Swedish Cancer Registry data. Eur J Cancer 2004;40:1361-72.
6. Ellison L. An empirical evaluation of period survival analysis using data from the Canadian Cancer Registry. Ann Epidemiol 2006;16:191-6.
7. Aareleid T, Brenner H. Trends in cancer patient survival in Estonia before and after the transition from a Soviet republic to an open market economy. Int J Cancer 2002;102:45-50.
8. Brenner H. Long-term survival rates of cancer patients achieved by the end of the 20th century: a period analysis. Lancet 2002;360:1131-5.
9. Smith LK, Lambert PC, Jones DR. Up-to-date estimates of long-term cancer survival in England and Wales. Br J Cancer 2003;89:74-6.
10. Coleman MP, Rachet B, Woods LM, et al. Trends and socioeconomic inequalities in cancer survival in England and Wales up to 2001. Brit J Cancer 2004;90:1367-73.
11. Talbäck M, Rosén M, Stenbeck M, Dickman PW. Cancer patient survival in Sweden at the beginning of the third millenium - predictions using period analysis. Cancer Causes Control 2004;15:967-76.
12. Brenner H, Stegmaier C, Ziegler H. Long-term survival of cancer patients in Germany achieved by the beginning of the 3rd millennium. Ann Oncol 2005;16:981-6.
13. Houterman S, Janssen-Heijnen ML, van de Poll-Franse LV, et al. Higher long-term survival rates in southeastern Netherlands using up-to-date period analysis. Ann Oncol 2006;17:709-12.
14. Stang A, Valiukeviciene S, Aleknaviciene B, Kurtinaitis J. Time trends of incidence, mortality and relative survival of invasive skin melanoma in Lithuania. Eur J Cancer 2006;42:660-7.
15. Zuccolo L, Dama E, Maule MM, Pastore G, Merletti F, Magnani C. Updating long-term childhood cancer survival trend with period and mixed analysis: good news from population-based estimates in Italy. Eur J Cancer 2006;42:1135-42.
16. Ellison LF, Gibbons L. Survival from cancer - up-to-date prediction using period analysis. Health Rep 2006;17:19-30.
17. Brenner H, Gefeller O, Hakulinen T. Period analysis for "up-to-date" cancer survival data: theory, empirical evaluation, computational realisation and applications. Eur J Cancer 2004;40:326-35.
18. Brenner H, Hakulinen T. Up-to-date and precise estimates of cancer patient survival: model based period analysis. Am J Epidemiol 2006;164:689-96.
19. Teppo L, Pukkala E, Lehtonen M. Data quality and quality control of a population-based cancer registry. Experience in Finland. Acta Oncol 1994;33:365-9.
20. Ederer F, Axtell LM, Cutler SJ. The relative survival rate: a statistical methodology. Monogr Natl Cancer Inst 1961;6:101-21.
21. Henson DE, Ries LA. The relative survival rate. Cancer 1995;76:1687-8.
22. Ederer F, Heise H. Instructions to IBM 650 programmers in processing survival computations. Methodological note no. 10, End Results Section. Bethesda (MD): National Cancer Institute; 1959.
23. Arndt V, Talbäck M, Gefeller O, Hakulinen T, Brenner H. Modification of SAS macros for more efficient analysis of relative survival rates. Eur J Cancer 2004;40:778-9.
24. Available from: http://www.encr.com.fr/, last accessed April 20, 2007.
25. Available fromhttp://seer.cancer.gov/registries/, last accessed April 20, 2007.
26. Mariotto AB, Wesley MN, Cronin KA, Johnson KA, Feuer EJ. Estimates of long-term survival of newly diagnosed patients. Cancer 2006;106:2039-50.
27. Brenner H, Hakulinen T. Up-to-date estimates of cancer patient survival even with common latency in cancer registration. Cancer Epidemiol Biomarkers Prev 2006;15:1727-32.