ine">\(\mbox{var}(Y_{ij}) = \phi \mu_{ij}\)</span>, where <span class="math inline">\(\phi\)</span> is the over-dispersion parameter and <span class="math inline">\(\mu_{ij} = E(Y_{ij})\)</span>. The shape parameter <span class="math inline">\(\theta\)</span> of the negative-binomial distribution is set equal to <span class="math inline">\(\mu_{ij} / (\phi - 1)\)</span>, such that the variance of negative-binomial matches the variance behind the quasi-likelihood.</p></li>
</ul>
</div>
<div id="examples" cla