+-------------+-------------------+
| fasttrakg   | 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)

``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

Examples
~~~~~~~~

::

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

