<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html><head><title>R: fasttrakg</title>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
<link rel="stylesheet" type="text/css" href="R.css">
</head><body>

<table width="100%" summary="page for fasttrakg"><tr><td>fasttrakg</td><td align="right">R Documentation</td></tr></table>

<h2>
fasttrakg
</h2>

<h3>Description</h3>



<p>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. 
</p>


<h3>Usage</h3>

<pre>data(fasttrakg)</pre>


<h3>Format</h3>


<p>A data frame with 15 observations on the following 9 variables.
</p>

<dl>
<dt><code>die</code></dt><dd><p>number died from MI</p>
</dd>
<dt><code>cases</code></dt><dd><p>number of cases with same covariate pattern</p>
</dd>
<dt><code>anterior</code></dt><dd><p>1=anterior site MI; 0=inferior site MI</p>
</dd>
<dt><code>hcabg</code></dt><dd><p>1=history of CABG; 0=no history of CABG</p>
</dd>
<dt><code>killip</code></dt><dd><p>Killip level of cardiac event severity (1-4)</p>
</dd>
<dt><code>kk1</code></dt><dd><p>(1/0) angina; not MI</p>
</dd>
<dt><code>kk2</code></dt><dd><p>(1/0) moderate severity cardiac event</p>
</dd>
<dt><code>kk3</code></dt><dd><p>(1/0) Severe cardiac event</p>
</dd>
<dt><code>kk4</code></dt><dd><p>(1/0) Severe cardiac event; death</p>
</dd>
</dl>



<h3>Details</h3>



<p>fasttrakg is saved as a data frame.
Count models use died as response numerator and cases as the demoninator  
</p>


<h3>Source</h3>



<p>1996-1998 FASTRAK data, Hoffman-LaRoche Canada,
National Health Economics &amp; Research Co.
</p>


<h3>References</h3>



<p>Hilbe, Joseph M (2007, 2011), Negative Binomial Regression, Cambridge University Press
Hilbe, Joseph M (2009), Logistic Regression Models, Chapman &amp; Hall/CRC
</p>


<h3>Examples</h3>

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


</body></html>
