diabetic {survival} | R Documentation |
Ddiabetic retinopathy
Description
Partial results from a trial of laser coagulation for the treatment of diabetic retinopathy.
Usage
diabetic
data(diabetic, package="survival")
Format
A data frame with 394 observations on the following 8 variables.
id
subject id
laser
laser type:
xenon
orargon
age
age at diagnosis
eye
a factor with levels of
left
right
trt
treatment: 0 = no treatment, 1= laser
risk
risk group of 6-12
time
time to event or last follow-up
status
status of 0= censored or 1 = visual loss
Details
The 197 patients in this dataset were a 50% random sample of the patients with "high-risk" diabetic retinopathy as defined by the Diabetic Retinopathy Study (DRS). Each patient had one eye randomized to laser treatment and the other eye received no treatment. For each eye, the event of interest was the time from initiation of treatment to the time when visual acuity dropped below 5/200 two visits in a row. Thus there is a built-in lag time of approximately 6 months (visits were every 3 months). Survival times in this dataset are therefore the actual time to blindness in months, minus the minimum possible time to event (6.5 months). Censoring was caused by death, dropout, or end of the study.
References
Huster, Brookmeyer and Self, Biometrics, 1989.
American Journal of Ophthalmology, 1976, 81:4, pp 383-396
Examples
# juvenile diabetes is defined as and age less than 20
juvenile <- 1*(diabetic$age < 20)
coxph(Surv(time, status) ~ trt + juvenile, cluster= id,
data= diabetic)