On this Picostat.com statistics page, you will find information about the fasttrakg data set which pertains to fasttrakg. The fasttrakg data set is found in the COUNT R package. You can load the fasttrakg data set in R by issuing the following command at the console data("fasttrakg"). This will load the data into a variable called fasttrakg. If R says the fasttrakg data set is not found, you can try installing the package by issuing this command install.packages("COUNT") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the fasttrakg R data set. The size of this file is about 361 bytes.
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.