R Dataset / Package survival / retinopathy


On this R-data statistics page, you will find information about the retinopathy data set which pertains to Diabetic Retinopathy. The retinopathy data set is found in the survival R package. You can load the retinopathy data set in R by issuing the following command at the console data("retinopathy"). This will load the data into a variable called retinopathy. If R says the retinopathy data set is not found, you can try installing the package by issuing this command install.packages("survival") and then attempt to reload the data. 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 retinopathy R data set. The size of this file is about 17,484 bytes.

Diabetic Retinopathy


A trial of laser coagulation as a treatment to delay diabetic retinopathy.




A data frame with 394 observations on the following 9 variables.


numeric subject id


type of laser used: xenon argon


which eye was treated: right left


age at diagnosis of diabetes


type of diabetes: juvenile adult, (diagnosis before age 20)


0 = control eye, 1 = treated eye


time to loss of vision or last follow-up


0 = censored, 1 = loss of vision in this eye


a risk score for the eye. This high risk subset is defined as a score of 6 or greater in at least one eye.


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, and has two observations in the data set. 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 the actual time to vision loss in months, minus the minimum possible time to event (6.5 months). Censoring was caused by death, dropout, or end of the study.


W. J. Huster, R. Brookmeyer and S. G. Self (1989). Modelling paired survival data with covariates, Biometrics 45:145-156.

A. L. Blair, D. R. Hadden, J. A. Weaver, D. B. Archer, P. B. Johnston and C. J. Maguire (1976). The 5-year prognosis for vision in diabetes, American Journal of Ophthalmology, 81:383-396.


coxph(Surv(futime, status) ~ type + trt + cluster(id), retinopathy)

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

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Attachment Size
dataset-35602.csv 17.07 KB
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0

This documentation is licensed under GPLv3 or later.