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Let $Y(t)$ be the at-risk process and $N(t)$ the counting process for observed events. Over a short interval, the multiplicative-intensity model giveswhere $h$ is the hazard function and $H$ the cumulative hazard function. Solving this relation for the infinitesimal hazard increment suggests $d\hat{H}(t)=dN(t)/Y(t)$. Summing over distinct event times gives the Nelson–Aalen estimatorwhere $d_j$ events occur among $r_j$ individuals at risk. Here there are no ties, so $d_j=1$.

Put $r_j=r_j^{(0)}+r_j^{(1)}$. The difference between the two Nelson–Aalen estimator increments isTherefore the log-rank weightsmake each summand of $T_W$ equal the corresponding summand of $T_0$, and hence $T_W=T_0$.

Let $u_j^{(1)}=u_j$ and $u_j^{(0)}=1-u_j$. Applying the Nelson–Aalen estimator separately to group $k$ giveswith a zero contribution when the event at $a_{\ell }$ occurs in the other group.