DRS: DRS

In CopulaCenR: Copula-Based Regression Models for Multivariate Censored Data

DRS

Description

A real dataset of bivariate right-censored data with 197 subjects and 3 covariates. The patients were a 50% random sample of the patients with "high-risk" diabetic retinopathy as defined by the Diabetic Retinopathy Study (DRS) (Huster, 1989).

Usage

data("DRS")

Format

A data frame with 394 observations on the following 7 variables.

id

subject id

ind

margin indicator, 1 for right eye, 2 for left eye

obs_time

time of blindness (in months) from treatment

status

censoring indicator, 1 = blindness, 0 = right censoring

treat

laser treatment type, 0 = no treatment, 1 = xenon, 2 = argon

age

age at diagnosis of diabetes

type

type of diabetes, 1 = juvenile (age at treatment < 20), 2 = adult

Details

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 (call it "blindness"). Survival times in this dataset are the actual time to blindness in months. Censoring was caused by death, dropout, or end of the study.

Source

https://www.mayo.edu/research/documents/DRShtml/DOC-10027460

References

Huster WJ, Brookmeyer R, Self SG (1989). Modeling paired survival data with covariates. Biometrics 45, 145-156.

Examples

data(DRS)
clayton_wb <- rc_par_copula(data = DRS,
              var_list = "treat",
              copula = "Clayton",
              m.dist = "Weibull")
summary(clayton_wb)

CopulaCenR documentation built on April 3, 2025, 10:29 p.m.