myeloid: Acute myeloid leukemia
In survival: Survival Analysis
myeloid R Documentation
Acute myeloid leukemia
Description
This simulated data set is based on a trial in acute myeloid
leukemia.
Usage
myeloid
data(cancer, package="survival")
Format
A data frame with 646 observations on the following 9 variables.
idsubject identifier, 1-646
trttreatment arm A or B
sexf=female, m=male
flt3mutations of the FLT3 gene, a factor with levels
of A, B, C
futimetime to death or last follow-up
death1 if futime is a death, 0 for censoring
txtimetime to hematropetic stem cell transplant
crtimetime to complete response
rltimetime to relapse of disease
Details
This data set is used to illustrate multi-state survival curves.
It is based on the actual study in the reference below.
A subset of subjects was de-identifed, reordered, and then all of the
time values randomly perturbed.
Mutations in the FLT3 domain occur in about 1/3 of AML patients,
the additional agent in treatment arm B was presumed to target this anomaly.
All subjects had a FLT mutation, either internal tandem duplications (ITD)
(divided into low vs high) +- mutations in the TKD domain, or TKD mutations
only. This was a stratification factor for treatment assignment in
the study. The levels of A, B, C correspond to increasing severity of the
mutation burden.
References
Le-Rademacher JG, Peterson RA, Therneau TM, Sanford BL, Stone RM,
Mandrekar SJ. Application of multi-state models in cancer clinical trials.
Clin Trials. 2018 Oct; 15 (5):489-498
Examples
coxph(Surv(futime, death) ~ trt + flt3, data=myeloid)
# See the mstate vignette for a more complete analysis
survival documentation built on June 22, 2024, 10:49 a.m.
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| myeloid | R Documentation |
Acute myeloid leukemia
Description
This simulated data set is based on a trial in acute myeloid leukemia.
Usage
myeloid
data(cancer, package="survival")
Format
A data frame with 646 observations on the following 9 variables.
idsubject identifier, 1-646
trttreatment arm A or B
sexf=female, m=male
flt3mutations of the FLT3 gene, a factor with levels of A, B, C
futimetime to death or last follow-up
death1 if
futimeis a death, 0 for censoringtxtimetime to hematropetic stem cell transplant
crtimetime to complete response
rltimetime to relapse of disease
Details
This data set is used to illustrate multi-state survival curves. It is based on the actual study in the reference below. A subset of subjects was de-identifed, reordered, and then all of the time values randomly perturbed.
Mutations in the FLT3 domain occur in about 1/3 of AML patients, the additional agent in treatment arm B was presumed to target this anomaly. All subjects had a FLT mutation, either internal tandem duplications (ITD) (divided into low vs high) +- mutations in the TKD domain, or TKD mutations only. This was a stratification factor for treatment assignment in the study. The levels of A, B, C correspond to increasing severity of the mutation burden.
References
Le-Rademacher JG, Peterson RA, Therneau TM, Sanford BL, Stone RM, Mandrekar SJ. Application of multi-state models in cancer clinical trials. Clin Trials. 2018 Oct; 15 (5):489-498
Examples
coxph(Surv(futime, death) ~ trt + flt3, data=myeloid)
# See the mstate vignette for a more complete analysis
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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