R Dataset / Package KMsurv / bmt

On this R-data statistics page, you will find information about the bmt data set which pertains to data from Section 1.3. The bmt data set is found in the KMsurv R package. You can load the bmt data set in R by issuing the following command at the console data("bmt"). This will load the data into a variable called bmt. If R says the bmt data set is not found, you can try installing the package by issuing this command install.packages("KMsurv") and then attempt to reload the data with the library() command. 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 bmt R data set. The size of this file is about 7,950 bytes.

data from Section 1.3

Description

The bmt data frame has 137 rows and 22 columns.

Format

This data frame contains the following columns:

group

Disease Group 1-ALL, 2-AML Low Risk, 3-AML High Risk

t1

Time To Death Or On Study Time

t2

Disease Free Survival Time (Time To Relapse, Death Or End Of Study)

d1

Death Indicator 1-Dead 0-Alive

d2

Relapse Indicator 1-Relapsed, 0-Disease Free

d3

Disease Free Survival Indicator 1-Dead Or Relapsed, 0-Alive Disease Free)

ta

Time To Acute Graft-Versus-Host Disease

da

Acute GVHD Indicator 1-Developed Acute GVHD 0-Never Developed Acute GVHD)

tc

Time To Chronic Graft-Versus-Host Disease

dc

Chronic GVHD Indicator 1-Developed Chronic GVHD 0-Never Developed Chronic GVHD

tp

Time To Chronic Graft-Versus-Host Disease

dp

Platelet Recovery Indicator 1-Platelets Returned To Normal, 0-Platelets Never Returned to Normal

z1

Patient Age In Years

z2

Donor Age In Years

z3

Patient Sex: 1-Male, 0-Female

z4

Donor Sex: 1-Male, 0-Female

z5

Patient CMV Status: 1-CMV Positive, 0-CMV Negative

z6

Donor CMV Status: 1-CMV Positive, 0-CMV Negative

z7

Waiting Time to Transplant In Days

z8

FAB: 1-FAB Grade 4 Or 5 and AML, 0-Otherwise

z9

Hospital: 1-The Ohio State University, 2-Alferd , 3-St. Vincent, 4-Hahnemann

z10

MTX Used as a Graft-Versus-Host- Prophylactic: 1-Yes 0-No

Source

Klein and Moeschberger (1997) Survival Analysis Techniques for Censored and truncated data, Springer.

Examples

data(bmt)

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

Attachments: csv, json

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