In this article, we introduce a new Stata command to estimate the net survival function and the net cumulative hazard. The command includes graphic facilities. It was designed to have a similar syntax to sts, the Stata command dedicated to estimate survival and related functions. We present two examples to illustrate the use of this new command.
DanieliC., RemontetL., BossardN., RocheL., and BelotA.2012. Estimating net survival: The importance of allowing for informative censoring. Statistics in Medicine31: 775–786.
2.
EdererF., AxtellL. M., and CutlerS. J.1961. The relative survival rate: A statistical methodology. National Cancer Institute Monograph6: 101–121.
3.
EdererF., and HeiseH.1959. The effect of eliminating deaths from cancer on general population survival rates, methodological note 11. End Results Evaluation Section, National Cancer Institute.
4.
EstéveJ., BenhamouE., and RaymondL., eds. 1994. Statistical Methods in Cancer Research, Volume IV: Descriptive Epidemiology.Lyon, France: International Agency for Research on Cancer.
5.
GamelJ. W., and VogelR. L.2001. Non-parametric comparison of relative versus cause-specific survival in Surveillance, Epidemiology and End Results (SEER) programme breast cancer patients. Statistical Methods in Medical Research10: 339–352.
6.
HakulinenT.1982. Cancer survival corrected for heterogeneity in patient withdrawal. Biometrics38: 933–942.
7.
KalbfleischJ. D., and PrenticeR. L.2002. The Statistical Analysis of Failure Time Data. 2nd ed. New York: Wiley.
8.
PoharM., and StareJ.2006. Relative survival analysis in R. Computer Methods and Programs in Biomedicine81: 272–278.
9.
Pohar PermeM., StareJ., and EstéveJ.2012. On estimation in relative survival. Biometrics68: 113–120.
