Step 1a/b	Estimate the densities among those uncensored, and without prior event ($C_t=0,Y_{t-1}=0$).
Step 2	Also, set $c_t=0$.
Step 4	Fit the model for the weighted outcome among those uncensored and without prior event, that is, estimate $\mathbb{E}\left(w_t\left(a_t^{(1)}c\right){\tilde{Y}}_t|{\bar{A}}_t,C_t=0,Y_{t-1}=0,{\mathbf{H}}_t\right)$.
Step 5	Additionally, set ${\tilde{Y}}_{t-1,i}=1$, if $Y_{t-2,i}=1$.