# R Dataset / Package MASS / gehan

Documentation |
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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## DescriptionA data frame from a trial of 42 leukaemia patients. Some were treated with the drug ## Usagegehan ## FormatThis data frame contains the following columns: `pair` -
label for pair. `time` -
remission time in weeks. `cens` -
censoring, 0/1. `treat` -
treatment, control or 6-MP.
## SourceCox, D. R. and Oakes, D. (1984) Gehan, E.A. (1965) A generalized Wilcoxon test for comparing arbitrarily single-censored samples. ## ReferencesVenables, W. N. and Ripley, B. D. (2002) ## Exampleslibrary(survival) gehan.surv <- survfit(Surv(time, cens) ~ treat, data = gehan, conf.type = "log-log") summary(gehan.surv) 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) summary(gehan.cox) -- Dataset imported from https://www.r-project.org. |

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Attachment | Size |
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dataset-38139.csv | 685 bytes |