COUNT (version 1.3.2)

azprocedure: azprocedure

Description

Data come from the 1991 Arizona cardiovascular patient files. A subset of the fields was selected to model the differential length of stay for patients entering the hospital to receive one of two standard cardiovascular procedures: CABG and PTCA. CABG is the standard acronym for Coronary Artery Bypass Graft, where the flow of blood in a diseased or blocked coronary artery or vein has been grafted to bypass the diseased sections. PTCA, or Percutaneous Transluminal Coronary Angioplasty, is a method of placing a balloon in a blocked coronary artery to open it to blood flow. It is a much less severe method of treatment for those having coronary blockage, with a corresponding reduction in risk.

Usage

data(azprocedure)

Format

A data frame with 3589 observations on the following 6 variables.

los

length of hospital stay

procedure

1=CABG;0=PTCA

sex

1=Male; 0=female

admit

1=Urgent/Emerg; 0=elective (type of admission)

age75

1= Age>75; 0=Age<=75< dd="">

hospital

encrypted facility code (string)

Source

1991 Arizona Medpar data, cardiovascular patient files, National Health Economics & Research Co.

Details

azprocedure is saved as a data frame. Count models use los as response variable. 0 counts are structurally excluded

References

Hilbe, Joseph M (2014), Modeling Count Data, Cambridge University Press Hilbe, Joseph M (2007, 2011), Negative Binomial Regression, Cambridge University Press Hilbe, Joseph M (2009), Logistic Regression Models, Chapman & Hall/CRC

Examples

library(MASS)
library(msme)

data(azprocedure)

glmazp <- glm(los ~ procedure + sex + admit, family=poisson, data=azprocedure)
summary(glmazp)
exp(coef(glmazp))

nb2 <- nbinomial(los ~ procedure + sex + admit, data=azprocedure)
summary(nb2)
exp(coef(nb2))

glmaznb <- glm.nb(los ~ procedure + sex + admit, data=azprocedure)
summary(glmaznb)
exp(coef(glmaznb))