On this R-data statistics page, you will find information about the gehan data set which pertains to Remission Times of Leukaemia Patients. The gehan data set is found in the MASS R package. You can load the gehan data set in R by issuing the following command at the console data("gehan"). This will load the data into a variable called gehan. If R says the gehan data set is not found, you can try installing the package by issuing this command install.packages("MASS") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the gehan R data set. The size of this file is about 685 bytes.
Remission Times of Leukaemia Patients
A data frame from a trial of 42 leukaemia patients. Some were treated with the drug 6-mercaptopurine and the rest are controls. The trial was designed as matched pairs, both withdrawn from the trial when either came out of remission.
This data frame contains the following columns:
label for pair.
remission time in weeks.
treatment, control or 6-MP.
Cox, D. R. and Oakes, D. (1984) Analysis of Survival Data. Chapman & Hall, p. 7. Taken from
Gehan, E.A. (1965) A generalized Wilcoxon test for comparing arbitrarily single-censored samples. Biometrika 52, 203–233.
Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.
gehan.surv <- survfit(Surv(time, cens) ~ treat, data = gehan,
conf.type = "log-log")
survreg(Surv(time, cens) ~ factor(pair) + treat, gehan, dist = "exponential")
summary(survreg(Surv(time, cens) ~ treat, gehan, dist = "exponential"))
summary(survreg(Surv(time, cens) ~ treat, gehan))
gehan.cox <- coxph(Surv(time, cens) ~ treat, gehan)
Dataset imported from https://www.r-project.org.