COUNT (version 1.3.4)

rwm1984: rwm1984

Description

German health registry for the year 1984.

Usage

data(rwm1984)

Format

A data frame with 3,874 observations on the following 17 variables.

Source

German Health Reform Registry, year=1984, in Hilbe and Greene (2007)

Details

rwm1984 is saved as a data frame. Count models typically use docvis as response variable. 0 counts are included

References

Hilbe, Joseph, M (2014), Modeling Count Data, Cambridge University Press 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

library(MASS)
library(msme)
data(rwm1984)

glmrp <- glm(docvis ~ outwork + female + age + factor(edlevel), family=poisson, data=rwm1984)
summary(glmrp)
exp(coef(glmrp))

summary(nb2 <- nbinomial(docvis ~ outwork + female + age + factor(edlevel), data=rwm1984))
exp(coef(nb2))

summary(glmrnb <- glm.nb(docvis ~ outwork + female + age + factor(edlevel), data=rwm1984))
exp(coef(glmrnb))