Cancer net survival on registry data: Use of the new unbiased Pohar-Perme estimator and magnitude of the bias with the classical methods

International Journal of Cancer

Volumn 132, Issue 10, 2013, Pages 2359-2369

  Roche, Laurent ^a,b,c,d   Danieli, Coraline ^a,b,c,d   Belot, Aurélien ^a,b,c,d,e   Grosclaude, Pascale ^f   Bouvier, Anne Marie ^g   Velten, Michel ^h   Iwaz, Jean ^a,b,c,d   Remontet, Laurent ^a,b,c,d   Bossard, Nadine ^a,b,c,d  

^a HOSPICES CIVILS DE LYON   (France)

^b UNIVERSITÉ DE LYON   (France)

^c UNIVERSITÉ LYON 1   (France)

^d LABORATOIRE DE BIOMÉTRIE ET BIOLOGIE EVOLUTIVE   (France)

^e INSTITUT DE VEILLE SANITAIRE   (France)

^f INSTITUT CLAUDIUS REGAUD   (France)

^g DIJON UNIVERSITY HOSPITAL   (France)

^h UNIVERSITÉ DE STRASBOURG   (France)

Author keywords

bias; cancer; net survival; registries; relative survival; survival analyses

Indexed keywords

ADOLESCENT; ADULT; AGE; AGED; ANALYTICAL ERROR; ARTICLE; BREAST CANCER; CANCER MORTALITY; CANCER REGISTRY; CANCER SURVIVAL; COLORECTAL CANCER; CONTROLLED STUDY; FEMALE; FOLLOW UP; HEAD AND NECK CANCER; HODGKIN DISEASE; HUMAN; INTERMETHOD COMPARISON; LUNG CANCER; MAJOR CLINICAL STUDY; MALE; POHAR PERME ESTIMATOR; PRIORITY JOURNAL; PROGNOSIS; PROSTATE CANCER; REGRESSION ANALYSIS; STATISTICAL ANALYSIS; THYROID CANCER; UNIVARIATE ANALYSIS;

ADOLESCENT; ADULT; AGE DISTRIBUTION; AGE FACTORS; AGED; BIAS (EPIDEMIOLOGY); BREAST NEOPLASMS; CAUSE OF DEATH; COLORECTAL NEOPLASMS; FEMALE; FRANCE; HEAD AND NECK NEOPLASMS; HODGKIN DISEASE; HUMANS; INCIDENCE; LUNG NEOPLASMS; MALE; MIDDLE AGED; MODELS, STATISTICAL; NEOPLASMS; PROGNOSIS; PROSTATIC NEOPLASMS; REGISTRIES; RISK ASSESSMENT; RISK FACTORS; SURVIVAL ANALYSIS; THYROID NEOPLASMS;

EID: 84874931736     PISSN: 00207136     EISSN: 10970215     Source Type: Journal    
DOI: 10.1002/ijc.27830     Document Type: Article

References (30)

1. Esteve J, Benhamou E, Raymond L,. Statistical methods in cancer research, vol. 4. Descriptive epidemiology. Lyon: IARC Scientific Publications, 1994. 302 p.
2. Percy C, Stanek E 3rd, Gloeckler L,. Accuracy of cancer death certificates and its effect on cancer mortality statistics. Am J Public Health 1981; 71: 242-50.
3. Ashworth TG,. Inadequacy of death certification: proposal for change. J Clin Pathol 1991; 44: 265-8.
4. Esteve J, Benhamou E, Croasdale M, Raymond L,. Relative survival and the estimation of net survival: elements for further discussion. Stat Med 1990; 9: 529-38.
5. Remontet L, Bossard N, Belot A, Esteve J,. An overall strategy based on regression models to estimate relative survival and model the effects of prognostic factors in cancer survival studies. Stat Med 2007; 26: 2214-28.
6. Rachet B, Woods LM, Mitry E, et al. Cancer survival in England and Wales at the end of the 20th century. Br J Cancer 2008; 99 (Suppl 1): S2-10.
7. Bossard N, Velten M, Remontet L, et al. Survival of cancer patients in France: a population-based study from The Association of the French Cancer Registries (FRANCIM). Eur J Cancer 2007; 43: 149-60.
8. Chirlaque MD, Salmeron D, Ardanaz E, et al. Cancer survival in Spain: estimate for nine major cancers. Ann Oncol 2010; 21 (Suppl 3): iii21-iii29.
9. Coleman MP, Forman D, Bryant H, et al. Cancer survival in Australia, Canada, Denmark, Norway, Sweden, and the UK, 1995-2007 (the International Cancer Benchmarking Partnership): an analysis of population-based cancer registry data. Lancet 2011; 377: 127-38.
10. Ederer F, Axtell LM, Cutler SJ,. The relative survival rate: a statistical methodology. Natl Cancer Inst Monogr 1961; 6: 101-21.
11. Hakulinen T,. Cancer survival corrected for heterogeneity in patient withdrawal. Biometrics 1982; 38: 933-42.
12. Altekruse SF, Kosary CL, Krapcho M, et al. SEER cancer statistics review, 1975-2007. Bethesda, MD: National Cancer Institute, 2010. Available at: http://seer.cancer.gov/csr/1975-2007/. Accessed March 30, 2012.
13. Howlader N, Noone AM, Krapcho M, et al. SEER Cancer Statistics Review, 1975-2008. Bethesda, MD: National Cancer Institute, 2011. Available at: http://seer.cancer.gov/csr/1975-2008/. Accessed March 30, 2012.
14. de Angelis R, Francisci S, Baili P, et al. The EUROCARE-4 database on cancer survival in Europe: data standardisation, quality control and methods of statistical analysis. Eur J Cancer 2009; 45: 909-30.
15. Coleman MP, Quaresma M, Berrino F, et al. Cancer survival in five continents: a worldwide population-based study (CONCORD). Lancet Oncol 2008; 9: 730-56.
16. Cancer Registry of Norway. Cancer in Norway 2009-cancer incidence, mortality, survival and prevalence in Norway. Oslo: Cancer Registry of Norway, 2011. 169 p.
17. Finnish Cancer Registry. Cancer in Finland 2006 and 2007. Helsinki: Cancer Society of Finland Publication, 2009. 87 p.
18. Engholm G, Gislum M, Bray F, Hakulinen T,. Trends in the survival of patients diagnosed with cancer in the Nordic countries 1964-2003 followed up to the end of 2006. Material and methods. Acta Oncol 2010; 49: 545-60.
19. Hakulinen T,. On long-term relative survival rates. J Chronic Dis 1977; 30: 431-43.
20. Perme MP, Stare J, Esteve J,. On estimation in relative survival. Biometrics 2012; 68: 113-20.
21. Danieli C, Remontet L, Bossard N, et al. Estimating net survival: the importance of allowing for informative censoring. Stat Med 2012; 31: 775-86.
22. Monnereau A, Troussard X, Belot A, et al. Unbiased estimates of long-term net survival of haematological malignancy patients detailed by major subtypes in France. Int J Cancer, in press.
23. Jooste V, Grosclaude P, Remontet L, et al. Unbiased estimates of long-term net survival of solid cancers in France. Int J Cancer, in press.
24. Wood SN,. Generalized additive models: an introduction with R. Boca Raton: Chapman & Hall/CRC, 2006. 410 p.
25. Corazziari I, Quinn M, Capocaccia R,. Standard cancer patient population for age standardising survival ratios. Eur J Cancer 2004; 40: 2307-16.
26. Robins JM, Rotnitzky A,. Recovery of information and adjustment for dependent censoring using surrogate markers. In:, Jewel N, Dietz K, Farewell V, eds. Aids epidemiology: methodological issues. Boston, MA: Birkhäuser, 1992. 297-331.
27. Rutherford MJ, Dickman PW, Lambert PC,. Comparison of methods for calculating relative survival in population-based studies. Cancer Epidemiol 2012; 36: 16-21.
28. Hakulinen T, Seppa K, Lambert PC,. Choosing the relative survival method for cancer survival estimation. Eur J Cancer 2011; 47: 2202-10.
29. Sarfati D, Blakely T, Pearce N,. Measuring cancer survival in populations: relative survival vs. cancer-specific survival. Int J Epidemiol 2010; 39: 598-610.
30. Office for National Statistics. Statistical Bulletin. Cancer Survival by Cancer Network in England-patients diagnosed 1996-2009 and followed up to 2010. Available at: http://www.ons.gov.uk/ons/rel/cancer-unit/cancer-survival-by- cancer-network/patients-diagnosed-in-1996-2009-followed-up-to-2010/ cancer-survival-by-cancer-network-sb2.html. Accessed March 30, 2012.