Fahrmeir (version 2016.5.31)

visual: Visual Impairment Data

Description

For 5199 individuals bivariate binary responses were observed, indicating wheater or not an eye was visually impaired, with covariates. The main objective is to analyze the influence of age and race on visual impairment, controlling for education, a surrogate for socioeconomic status. Data are only given individually for right and left eye, the bivariate response is lost.

Usage

data(visual)

Format

The format is: List of 2 $ left :`data.frame': 16 obs. of 4 variables: ..$ left: Factor w/ 2 levels "no","yes": 2 1 2 1 2 1 2 1 2 1 ... ..$ race: Factor w/ 2 levels "black","white": 2 2 2 2 2 2 2 2 1 1 ... ..$ age : Factor w/ 4 levels "40-50","51-60",..: 1 1 2 2 3 3 4 4 1 1 ... ..$ n : int [1:16] 15 617 24 557 42 789 139 673 29 750 ... $ right:`data.frame': 16 obs. of 4 variables: ..$ right: Factor w/ 2 levels "no","yes": 2 1 2 1 2 1 2 1 2 1 ... ..$ race : Factor w/ 2 levels "black","white": 2 2 2 2 2 2 2 2 1 1 ... ..$ age : Factor w/ 4 levels "40-50","51-60",..: 1 1 2 2 3 3 4 4 1 1 ... ..$ n : int [1:16] 19 613 25 556 48 783 146 666 31 748 ...

Source

Ludwig Fahrmeir, Gerhard Tutz (1994): Multivariate Statistical Modelling Based on Generalized Linear Models. Springer Series in Statistics. Springer Verlag. New-York Berlin Heidelberg

Examples

str(visual) 
summary(visual)