typo

book/survival.qmd

@@ -360,7 +360,7 @@ Following @Klein2003, we can define the likelihood contributions for the differe
   - $\delta_i = 1$: $P(Y_i = t_i|Y_i \leq t_i^R|\bstheta) = \frac{f_Y(t_i|\bstheta)}{F_Y(t_i^R|\bstheta)}$
   - $\delta_i = 0$: $P(Y_i \geq t_i|Y_i \leq t_i^R|\bstheta) = \frac{F_Y(t_i^R|\bstheta) - F_Y(t_i|\bstheta)}{F_Y(t_i^R|\bstheta)}$
 
-Let $\mathcal{O}$, $\mathcal{RC}$, $\mathcal{LC}$, $\mathcal{IC}$, $\mathcal{LT}$, $\mathcal{RT} \subset \mathcal{D}$ subsets of the observed data for subjects with observed event times, right-censoring, left-censoring, interval-censoring, left-truncation and right-truncation, respectively.
+Let $\mathcal{O}$, $\mathcal{RC}$, $\mathcal{LC}$, $\mathcal{IC}$, $\mathcal{LT}$, $\mathcal{RT} \subset \mathcal{D}$ be subsets of the observed data for subjects with observed event times, right-censoring, left-censoring, interval-censoring, left-truncation and right-truncation, respectively.
 
 Then, assuming independence between observations, the objective function for the observed data can be defined as