COUNT (version 1.3.2)

rwm: rwm

Description

German health registry for the years 1984-1988. Health information for years prior to health reform.

Usage

data(rwm)

Format

A data frame with 27,326 observations on the following 4 variables.

docvis

number of visits to doctor during year (0-121)

age

age: 25-64

educ

years of formal education (7-18)

hhninc

household yearly income in DM/1000)

Source

German Health Reform Registry, years pre-reform 1984-1988, From Hilbe and Greene (2008)

Details

rwm is saved as a data frame. Count models typically use docvis as response variable. 0 counts are included

References

Hilbe, Joseph M (2011), Negative Binomial Regression, Cambridge University Press Hilbe, J.M. and W.H. Greene (2008), "Count Response Regression Models", in Rao, CR, JP Miller and DC Rao (eds), Handbook of Statistics 27: Epidemiology and Medical Statistics, Amsterdam: Elsevier. pp. 210-252.

Examples

data(rwm)
glmrwp <- glm(docvis ~ age + educ + hhninc, family=poisson, data=rwm)
summary(glmrwp)
exp(coef(glmrwp))
library(MASS)
glmrwnb <- glm.nb(docvis ~ age + educ + hhninc, data=rwm)
summary(glmrwnb)
exp(coef(glmrwnb))