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)
Arguments
Format
A data frame with 1383 observations on the following 8 variables.
los
the total number of days patients spent in hospital: a discrete vector
noinap
the number of inappropriate days spent in hospital: a discrete vector
loglos
the log(los/10): a numeric vector
sex
the gender of patient: a factor with levels 1=male, 2=female
ward
the type of ward in the hospital: a factor with levels 1=medical 2=surgical, 3=others
year
the specific year 1988 or 1990: a factor with levels 88 and 90
age
the age of the patient subtracted from 55: a numeric vector
y
the response variable a matrix with 2 columns, the first is noinap the second is equal to (los-noinap)
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