COUNT (version 1.3.2)

fasttrakg: fasttrakg

Description

Data are from the Canadian National Cardiovascular Disease registry called, FASTRAK. years covered at 1996-1998. They have been grouped by covariate patterns from individual observations.

Usage

data(fasttrakg)

Format

A data frame with 15 observations on the following 9 variables.

die

number died from MI

cases

number of cases with same covariate pattern

anterior

1=anterior site MI; 0=inferior site MI

hcabg

1=history of CABG; 0=no history of CABG

killip

Killip level of cardiac event severity (1-4)age75

1= Age>75; 0=Age<=75 kk1

(1/0) angina; not MI

kk2

(1/0) moderate severity cardiac event

kk3

(1/0) Severe cardiac event

kk4

(1/0) Severe cardiac event; death

Source

1996-1998 FASTRAK data, Hoffman-LaRoche Canada, National Health Economics & Research Co.

Details

fasttrakg is saved as a data frame. Count models use died as response numerator and cases as the demoninator

References

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

Examples

library(MASS)
data(fasttrakg)
glmfp <- glm(die ~ anterior + factor(killip) + offset(log(cases)), family=poisson, data=fasttrakg)
summary(glmfp)
exp(coef(glmfp))