eyedisease: Eye Disease Risk Factors

In ordinalgmifs: Ordinal Regression for High-Dimensional Data

Eye Disease Risk Factors

Description

Eye Disease Risk Factors data from Section 9.1 of Agresti's Analysis of Ordinal Categorical Data. The primary data are from the Wisconsin Epidemiological Study of Diabetic Retinopathy. The primary outcome is severity of retinopathy which was measured in the left and right eye of every subject.

Usage

data(eyedisease)

Format

A data frame with 720 observations on the following 19 variables.

rme

right eye macular oedema (absent = 0, present = 1)

lme

left eye macular oedema (absent = 0, present = 1)

rre

right eye refraction index

lre

left eye refraction index

riop

right eye intraocular eye pressure

liop

left eye intraocular eye pressure

age

age

diab

duration of diabetes (in years)

gh

glycosylated haemoglobin level

sbp

systolic blood pressure

dbp

diastolic blood pressure

bmi

body mass index

pr

pulse rate?

sex

gender (male=1, female=2)

prot

proteinuria (absent = 0, present = 1)

dose

a numeric vector

rerl

right eye severity of retinopathy, an ordered factor with levels None < Mild < Moderate < Proliferative

lerl

left eye severity of retinopathy, an ordered factor with levels None < Mild < Moderate < Proliferative

id

subject identifier

References

R. Klein and B.E.K. Klein and S.E. Moss and M.D. Davis and D.L. DeMets. (1984) The Wisconsin Epidemiologic Study of Diabetic Retinopathy II. Prevalence and risk of diabetic retinopathy when age at diagnosis is less than 30 years. Archives of Opthalmology 101, 520-526.

J. Williamson and K. Kim. (1996) A global odds ratio regression model for bivariate ordered categorical data from opthalmologic studies. Statistics in Medicine 15: 1507-1518.

A. Agresti. (2010) Analysis of Ordered Categorical Data, Second Edition. Wiley. Hoboken, NJ.

See Also

See Also as ordinalgmifs

Examples

data(eyedisease)

ordinalgmifs documentation built on May 31, 2023, 6:31 p.m.