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.
A data frame with 15 observations on the following 9 variables.
number died from MI
number of cases with same covariate pattern
1=anterior site MI; 0=inferior site MI
1=history of CABG; 0=no history of CABG
Killip level of cardiac event severity (1-4)age75
1= Age>75; 0=Age<=75
(1/0) angina; not MI
(1/0) moderate severity cardiac event
(1/0) Severe cardiac event
(1/0) Severe cardiac event; death
fasttrakg is saved as a data frame.
Count models use died as response numerator and cases as the demoninator
1996-1998 FASTRAK data, Hoffman-LaRoche Canada,
National Health Economics & Research Co.
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
glmfp <- glm(die ~ anterior + factor(killip) + offset(log(cases)), family=poisson, data=fasttrakg)
Dataset imported from https://www.r-project.org.