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Name:

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.

Variables:

A data frame with 15 observations on the following 10 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

Link To Google Sheets:

Rows:

Columns:

License Type:

References/Notes/Attributions:

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

R Dataset Upload:

Use the following R code to directly access this dataset in R.

d <- read.csv("https://www.key2stats.com/fasttrakg_181_47.csv")

R Coding Interface:


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