A dataset containing a time-to-event outcome, an event indicator, treatment group, and 6 baseline covariates
Usage
data(survivalExample)Format
A dataframe with 4000 rows (patients) and 9 variables:
- age
age at baseline, centered to 48 years old, in years
- female
sex, 0 for male, 1 for female
- previous_treatment
previous treatment, "drugA", "drugB", or "drugC"
- previous_cost
previous medical cost, in US dollars
- previous_number_symptoms
previous number of symptoms, "0", "1", or ">=2"
- previous_number_relapses
previous number of relapses
- trt
current treatment, "drug0" or "drug1"
- y
time to first relapse or censoring
- d
event indicator, 1: relapse, 0: censored
Examples
data(survivalExample)
str(survivalExample)
#> 'data.frame': 4000 obs. of 9 variables:
#> $ age : num [1:4000, 1] -26.83 -2.83 -12.83 -20.83 6.17 ...
#> ..- attr(*, "scaled:center")= num 45.8
#> $ female : int 1 1 1 0 0 1 1 1 1 1 ...
#> $ previous_treatment : Factor w/ 3 levels "drugA","drugB",..: 3 1 3 1 3 1 3 3 3 1 ...
#> $ previous_cost : num [1:4000, 1] -0.341 -0.239 -0.171 -0.392 -0.518 ...
#> ..- attr(*, "scaled:center")= num 14362
#> ..- attr(*, "scaled:scale")= num 24266
#> $ previous_number_symptoms: Factor w/ 3 levels "0","1",">=2": 2 2 2 3 3 2 3 2 2 2 ...
#> $ previous_number_relapses: int 0 1 2 0 1 0 0 2 0 0 ...
#> $ trt : Factor w/ 2 levels "drug0","drug1": 1 1 1 1 2 1 2 2 2 2 ...
#> $ y : num 102.1 51.3 104.9 61.5 35.6 ...
#> $ d : num 0 0 0 0 0 0 0 0 0 1 ...