References

F. Ederer. The relative survival rate: a statistical methodology. Natl. Cancer Inst. Monogr. 6, 101–121 (1961).

F. Ederer and H. Heise. The effect of eliminating deaths from cancer in general survival rates, methodological notes 11. End Result Evaluation Section, National Cancer Institute (1959).

T. Hakulinen. On long-term relative survival rates. Journal of Chronic Diseases 30, 431–443 (1977).

M. P. Perme, J. Stare and J. Estève. On Estimation in Relative Survival. Biometrics 68, 113–120 (2011).

N. Grafféo, F. Castell, A. Belot and R. Giorgi. A Log-Rank-Type Test to Compare Net Survival Distributions. Biometrics 72, 760–769 (2016).

T. R. Fleming and D. P. Harrington. Counting Processes and Survival Analysis. Vol. 625 (John Wiley & Sons, 2013).

P. K. Andersen, O. Borgan, R. D. Gill and N. Keiding. Statistical Models Based on Counting Processes. Springer Series in Statistics (Springer US, New York, NY, 1993).

M. P. Perme and K. Pavlic. Nonparametric relative survival analysis with the R package relsurv. Journal of Statistical Software 87, 1–27 (2018).

H. Charvat and A. Belot. Mexhaz: An R package for fitting flexible hazard-based regression models for overall and excess mortality with a random effect. Journal of Statistical Software 98, 1–36 (2021).

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

T. Hakulinen and K. H. Abeywickrama. A computer program package for relative survival analysis. Computer programs in biomedicine 19, 197–207 (1985).

T. Hakulinen and L. Tenkanen. Regression analysis of relative survival rates. Journal of the Royal Statistical Society Series C: Applied Statistics 36, 309–317 (1987).