Name:

Description:

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

Variables:

A data frame with 27,326 observations on the following 5 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)

Details

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

Link To Google Sheets:

Rows:

Columns:

Files:

License Type:

References/Notes/Attributions:

Source

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

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.

R Dataset Upload:

Use the following R code to directly access this dataset in R.

R Coding Interface: