and the estimates stay consistent. If the outcome model is biased, the fluctuation removes the bias whenever the treatment assignment model is consistent. This process is iterative and continues until a threshold is hit (either the maximum number of iterations is reached or the bias is smaller than the specified tolerance, see <code><a href="https://rdrr.io/pkg/survtmle/man/survtmle.html" class="external-link">?survtmle</a></code>).</p>
<p>In contrast to the estimator implemented in the <code><a href="surv_