fasttrakg {COUNT} | R Documentation |
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
Details
fasttrakg is saved as a data frame. Count models use died as response numerator and cases as the demoninator
Source
1996-1998 FASTRAK data, Hoffman-LaRoche Canada, National Health Economics & Research Co.
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))