A dataset containing a count outcome, a length of follow-up and 6 baseline covariates
Usage
data(countExample)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
count outcome, current number of relapses
- years
length of follow-up, in years
Examples
data(countExample)
str(countExample)
#> 'data.frame': 4000 obs. of 9 variables:
#> $ age : num [1:4000, 1] -21.22 -2.22 -10.22 6.78 4.78 ...
#> ..- attr(*, "scaled:center")= num 46.2
#> $ female : int 0 1 1 0 1 0 1 0 1 1 ...
#> $ previous_treatment : Factor w/ 3 levels "drugA","drugB",..: 1 1 1 1 3 3 3 3 3 1 ...
#> $ previous_cost : num [1:4000, 1] 0.451 -0.194 -0.534 -0.337 -0.271 ...
#> ..- attr(*, "scaled:center")= num 13824
#> ..- attr(*, "scaled:scale")= num 20172
#> $ previous_number_symptoms: Factor w/ 3 levels "0","1",">=2": 2 2 2 2 2 2 2 3 2 1 ...
#> $ previous_number_relapses: int 0 0 1 1 0 0 0 0 1 1 ...
#> $ trt : Factor w/ 2 levels "drug0","drug1": 2 1 1 2 2 1 2 2 2 2 ...
#> $ y : int 0 0 0 0 1 0 0 0 0 0 ...
#> $ years : num 0.2847 0.6105 2.653 0.0383 2.2697 ...
rate <- countExample$y / countExample$years