gamlss.data (version 4.2-0)

aep: The Hospital Stay Data

Description

The data, 1383 observations, are from a study at the Hospital del Mar, Barcelona during the years 1988 and 1990, Gange et al. (1996).

Usage

data(aep)

docType

data

source

Gange, S. J. Munoz, A. Saez, M. and Alonso, J. (1996)

Details

Gange et al. (1996) used a logistic regression model for the number of inappropriate days (noinap) out of the total number of days spent in hospital (los), with binomial and beta binomial errors and found that the later provided a better fit to the data. They modelled both the mean and the dispersion of the beta binomial distribution (BB) as functions of explanatory variables

References

Gange, S. J. Munoz, A. Saez, M. and Alonso, J. (1996) Use of the beta-binomial distribution to model the effect of policy changes on appropriateness of hospital stays. Appl. Statist, 45, 371--382

Examples

data(aep)
attach(aep)
pro<-noinap/los
plot(ward,pro)
rm(pro)
detach(aep)