R Dataset / Package survival / myeloid


On this Picostat.com statistics page, you will find information about the myeloid data set which pertains to Acute myeloid leukemia. The myeloid data set is found in the survival R package. You can load the myeloid data set in R by issuing the following command at the console data("myeloid"). This will load the data into a variable called myeloid. If R says the myeloid data set is not found, you can try installing the package by issuing this command install.packages("survival") 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 myeloid R data set. The size of this file is about 15,574 bytes.

Acute myeloid leukemia


This simulated data set is based on a trial in acute myeloid leukemia.


A data frame with 646 observations on the following 9 variables.


subject identifier, 1-646


treatment arm A or B


time to death or last follow-up


1 if futime is a death, 0 for censoring


time to hematropetic stem cell transplant


time to complete response


time to relapse of disease


This data set is used to illustrate multi-state survival curves. The correlation between within-subject event times strongly resembles that from an actual trial, but none of the actual data values are from that source.


coxph(Surv(futime, death) ~ trt, data=myeloid)
# See the mstate vignette for a more complete analysis

Dataset imported from https://www.r-project.org.

Title Authored on Content type
R Dataset / Package psych / bfi March 9, 2018 - 1:06 PM Dataset
OpenIntro Statistics Dataset - scotus_healthcare August 9, 2020 - 2:38 PM Dataset
R Dataset / Package psych / withinBetween March 9, 2018 - 1:06 PM Dataset
R Dataset / Package Stat2Data / Kids198 March 9, 2018 - 1:06 PM Dataset
R Dataset / Package Ecdat / Wages1 March 9, 2018 - 1:06 PM Dataset
Attachment Size
dataset-93283.csv 15.21 KB
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0