Selected links

Cancer Survival Analysis - General
Dickman PW, Adami HO. Interpreting trends in cancer patient survival. Journal of Internal Medicine 2006;260:103-117.

Dickman PW, Coviello E, Hills M. Estimating and modelling relative survival. Stata Journal (in press) [Full text in PDF format]

Estimating relative survival

Hakulinen T, Seppä K, Lambert PC. Choosing the relative survival method for cancer survival estimation. Eur J Cancer 2011;47:2202-10.

Pohar Perme M, Stare J, Estève J. On Estimation in Relative Survival. Biometrics 2011

Talbäck M, Dickman PW. Estimating expected survival probabilities for relative survival analysis - Exploring the impact of including cancer patient mortality in the calculations. Eur J Cancer 2011

Rutherford MJ, Dickman PW, Lambert PC. Comparison of methods for calculating relative survival in population-based studies. Cancer Epidemiol 2011.

Sarfati D, Blakely T, Pearce N. Measuring cancer survival in populations: relative survival vs cancer-specific survival. Int J Epidemiol 2010;39:598-610.

Age-standardisation of relative survival
Pokhrel, A. and Hakulinen, T. How to interpret the relative survival ratios of cancer patients. Eur. J. Cancer 2008;44:2661-2667.

Pokhrel, A. and Hakulinen, T. Age-standardisation of relative survival ratios of cancer patients in a comparison between countries, genders and time periods. Eur. J. Cancer 2009;45:642-647.

Period analysis
Brenner H, Hakulinen T. Up-to-date cancer survival: period analysis and beyond. Int J Cancer. 2009;124:1384-90.

Brenner H, Hakulinen T. Period versus cohort modeling of up-to-date cancer survival. Int J Cancer 2008;122:898-904.

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.

Modelling excess mortality
Hakulinen, T. and Tenkanen, L. Regression analysis of relative survival rates. Appl. Stat. 1987;36:309-317.

Dickman PW, Sloggett A, Hills M, Hakulinen T. Regression models for relative survival. Statistics in Medicine 2004; 23:51-64.

Mariotto A.B., Wesley M.N., Cronin K.A., Johnson K.A., Feuer F.J. Estimates of long-term survival for newly diagnosed cancer patients: a modeling approach. Cancer 2006;106:2039-2050.

Perme MP, Henderson R, Stare J. An approach to estimation in relative survival regression. Biostatistics 2009;10:136-46.

Stare J, Pohar M, Henderson R. Goodness of fit of relative survival models. Statistics in Medicine 2005;24:3911-25.

Flexible parametric models for relative survival
Nelson C, Lambert PC, Squire IB, Jones DR. Flexible Parametric Models for Relative Survival, with Application in Coronary Heart Disease. Statistics in Medicine 2007;26:5486-98.

Lambert PC, Royston P. Further development of flexible parametric models for survival analysis. The Stata Journal 2009;9:265–290.

Lambert PC, Dickman PW, Nelson CP, Royston P. Estimating the crude probability of death due to cancer and other causes using relative survival models. Statistics in Medicine 2009 (in press).

Modelling cure in population-based cancer survival analysis
Lambert PC, Thompson JR, Weston CL, Dickman PW. Estimating and modelling the cure fraction in population-based cancer survival analysis. Biostatistics 2007;8:576-94.

Lambert PC, Dickman PW, Osterlund P, Andersson T, Sankila R, Glimelius B. Temporal trends in the proportion cured for cancer of the colon and rectum: A population-based study using data from the Finnish Cancer Registry. Int J Cancer. 2007;121:2052-9.

Lambert PC. Modeling of the cure fraction in survival studies. The Stata Journal 2007;7:351–375.

Huang L., Cronin K.A., Johnson K., Mariotto AB., Feuer E.J. Improved survival time: what can survival cure models tell us about population-based survival improvements in late-stage colorectal, ovarian, and testicular cancer? Cancer 2008;112:2289-300.

Yu B., Tiwari R.C., Cronin, K.A. Feuer, E.J. Cure fraction estimation from the mixture models for grouped survival data. Statistics in Medicine 2004;23:1733-1747

Estimating crude and net mortality
Cronin, K.A. and Feuer, E.J. Cumulative cause-specific mortality for cancer patients in the presence of other causes: a crude analogue of relative survival. Statistics in Medicine 2000:19:1729-1740.

Lambert PC, Dickman PW, Nelson CP, Royston P. Estimating the crude probability of death due to cancer and other causes using relative survival models. Statistics in Medicine 2009 (in press).

Software for estimating and modelling relative survival
Lambert PC, Royston P. Further development of flexible parametric models for survival analysis. The Stata Journal 2009;9:265–290.

Lambert PC. Modeling of the cure fraction in survival studies. The Stata Journal 2007;7:351–375.

Yu B., Tiwari R.C., Cronin K.A., McDonald C., Feuer E.J. CANSURV: a windows program for population-based cancer survival analysis. Computer Methods and Programs in Biomedicine 2005:80;195-203.

Dickman PW, Coviello E, Hills M. Estimating and modelling relative survival. The Stata Journal (in press) [Full text in PDF format]

Pohar M, Stare J. Making relative survival analysis relatively easy. Comput Biol Med. 2007;37:1741-9.

Pohar M, Stare J. Relative survival analysis in R. Computer Methods and Programs in Biomedicine 2006;81:272-8.