A data frame with 154 observations on the following 17 variables.
Obs
Observation number
Z1
Treatment: 0-routine bathing 1-Body cleansing
Z2
Gender (0=male 1=female)
Z3
Race: 0=nonwhite 1=white
Z4
Percentage of total surface area burned
Z5
Burn site indicator: head 1=yes, 0=no
Z6
Burn site indicator: buttock 1=yes, 0=no
Z7
Burn site indicator: trunk 1=yes, 0=no
Z8
Burn site indicator: upper leg 1=yes, 0=no
Z9
Burn site indicator: lower leg 1=yes, 0=no
Z10
Burn site indicator: respiratory tract 1=yes, 0=no
Z11
Type of burn: 1=chemical, 2=scald, 3=electric, 4=flame
T1
Time to excision or on study time
D1
Excision indicator: 1=yes 0=no
T2
Time to prophylactic antibiotic treatment or on study time
D2
Prophylactic antibiotic treatment: 1=yes 0=no
T3
Time to straphylocous aureaus infection or on study time
D3
Straphylocous aureaus infection: 1=yes 0=no
Source
Klein and Moeschberger (1997) Survival Analysis Techniques for Censored and truncated data, Springer.
Ichida et al. Stat. Med. 12 (1993): 301-310.
Examples
data(burn)
## maybe str(burn) ;
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
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> library(GPLTR)
Loading required package: rpart
Loading required package: parallel
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/GPLTR/burn.Rd_%03d_medium.png", width=480, height=480)
> ### Name: burn
> ### Title: burn dataset
> ### Aliases: burn
> ### Keywords: datasets
>
> ### ** Examples
>
> data(burn)
> ## maybe str(burn) ;
>
>
>
>
>
> dev.off()
null device
1
>