## 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))
```