Estimating net survival using a life-table approach

Stata Journal

Volumn 15, Issue 1, 2015, Pages 173-185

  Coviello, Enzo ^a   Seppä, Karri ^c   Dickman, Paul W ^b   Pokhrel, Arun ^d  

^a Statistics and Epidemiology Unit   (Italy)

^b KAROLINSKA INSTITUTE   (Sweden)

^c FINNISH CANCER REGISTRY   (Finland)

^d UNIVERSITY OF ALBERTA   (Canada)

Author keywords

Age standardization; Cancer survival; Competing risks; Life table; Net survival; Period analysis; Relative survival; st0375; stnet

Indexed keywords

EID: 84944230232     PISSN: 1536867X     EISSN: 15368734     Source Type: Journal    
DOI: 10.1177/1536867x1501500111     Document Type: Article

References (21)

1. Brenner, H., V. Arndt, O. Gefeller, and T. Hakulinen. 2004. An alternative approach to age adjustment of cancer survival rates. European Journal of Cancer 40: 2317-2322.
2. Brenner, H., and O. Gefeller. 1996. An alternative approach to monitoring cancer patient survival. Cancer 78: 2004-2010.
3. Brenner, H., and B. Rachet. 2004. Hybrid analysis for up-to-date long-term survival rates in cancer registries with delayed recording of incident cases. European Journal of Cancer 40: 2494-2501.
4. Clerc-Urmés, K., M. Grzebyk, and G. Hedelin. 2014. Net survival estimation with stns. Stata Journal 14: 87-102.
5. Coleman, M. P., P. Babb, P. Damiecki, P. Grosclaude, S. Honjo, J. Jones, G. Knerer, A. Pitard, M. J. Quinn, A. Sloggett, and B. De Stavola. 1999. Cancer survival trends in England and Wales, 1971–1995: Deprivation and NHS Region. Office for National Statistics, London, UK.
6. Coleman, M. P., M. Quaresma, F. Berrino, J. M. Lutz, R. D. Angelis, R. Capocaccia, P. Baili, B. Rachet, G. Gatta, T. Hakulinen, A. Micheli, M. Sant, H. K. Weir, J. M. Elwood, H. Tsukama, S. Koifman, G. A. E. Silva, S. Francisci, M. Santguilani, A. Verdecchia, H. H. Storm, and J. C. Young. 2008. Cancer survival in five continents: A worldwide population-based study (CONCORD). Lancet Oncology 9: 730-756.
7. Corazziari, I., M. Quinn, and R. Capocaccia. 2004. Standard cancer patient population for age standardising survival ratios. European Journal of Cancer 40: 2307-2316.
8. Danieli, C., L. Remontet, N. Bossard, L. Roche, and A. Belot. 2012. Estimating net survival: The importance of allowing for informative censoring. Statistics in Medicine 31: 775-786.
9. Dickman, P. W. 2010. Standard errors of observed and relative survival in strs. http://www.pauldickman.com/rsmodel/stata colon/standard errors.pdf.
10. Dickman, P. W., and H. O. Adami. 2006. Interpreting trends in cancer patient survival. Journal of Internal Medicine 260: 103-117.
11. Estéve, J., E. Benhamou, M. Croasdale, and L. Raymond. 1990. Relative survival and the estimation of net survival: Elements for further discussion. Statistics in Medicine 9: 529-538.
12. Hinchliffe, S. W., M. J. Rutherford, M. J. Crowther, C. P. Nelson, and P. C. Lambert. 2012. Should relative survival be used with lung cancer data? British Journal of Cancer 106: 1854-1859.
13. Pohar, M., and J. Stare. 2006. Relative survival analysis in R. Computer Methods and Programs in Biomedicine 81: 272-278.
14. Pohar Perme, M. 2013. relsurv: Relative survival. R. package version 2.0-4. http://CRAN.R-project.org/package=relsurv.
15. Pohar Perme, M., J. Stare, and J. Estéve. 2012. On estimation in relative survival. Biometrics 68: 113-120.
16. Pokhrel, A., and T. Hakulinen. 2009. Age-standardisation of relative survival ratios of cancer patients in a comparison between countries, genders and time periods. European Journal of Cancer 45: 642-647.
17. Rachet, B., L. Ellis, C. Maringe, T. Chu, M. Quaresma, A. Shah, S. Walters, L. Woods, D. Forman, and M. P. Coleman. 2010. Socioeconomic inequalities in cancer survival in England after the NHS cancer plan. British Journal of Cancer 103: 446-453.
18. Sarfati, D., T. Blakely, and N. Pearce. 2010. Measuring cancer survival in populations: Relative survival vs. cancer-specific survival. International Journal of Epidemiology 39: 598-610.
19. Seppä, K., T. Hakulinen, and A. Pokhrel. Forthcoming. Choosing the net survival method for cancer survival estimation. European Journal of Cancer.
20. Therneau, T. M., and P. Grambsh. 2000. Modeling Survival Data: Extending the Cox Model. New York: Springer.
21. Tsiatis, A. A. 2005. Competing Risks. In Encyclopedia of Biostatistics, ed. P. Armitage and T. Colton, 2nd ed., 1025-1035. Chichester, UK: Wiley.