} ) }{ (1+e_{1})^2} = \frac{1 - \exp(-(z_{1} - z_{0})\beta_{1}) }{(1 + e_{1})^2}\]</span></p>
<p>By combining information of estimated <span class="math inline">\(var{(\boldsymbol{\beta})}\)</span> and <span class="math inline">\(\frac{\partial g(\boldsymbol{\hat{\beta}})}{\partial \boldsymbol{\hat{\beta}}}\)</span>, we can derive the estimated variance of <span class="math inline">\(g(\boldsymbol{\beta})\)</span>.</p>
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<div id="bootstrap" class="section level3">
<h3>Bootstrap</h3>
<p>In both of <code