badhealth {COUNT}

badhealth

Description

From German health survey data for the year 1998 only.

Usage

data(badhealth)

Format

A data frame with 1,127 observations on the following 3 variables.

numvisit

number of visits to doctor during 1998

badh

1=patient claims to be in bad health; 0=not in bad health

age

age of patient: 20-60

Details

badhealth is saved as a data frame. Count models use numvisit as the response variable, 0 counts are included.

Source

German Health Survey, amended in Hilbe and Greene (2008).

References

Hilbe, Joseph M (2011), Negative Binomial Regression, Cambridge University Press Hilbe, J. and W. Greene (2008). Count Response Regression Models, in ed. C.R. Rao, J.P Miller, and D.C. Rao, Epidemiology and Medical Statistics, Elsevier Handbook of Statistics Series. London, UK: Elsevier.

Examples

data(badhealth)
glmbadp <- glm(numvisit ~ badh + age, family=poisson, data=badhealth)
summary(glmbadp)
exp(coef(glmbadp))
library(MASS)
glmbadnb <- glm.nb(numvisit ~ badh + age, data=badhealth)
summary(glmbadnb)
exp(coef(glmbadnb))