Let mean membership in the structural-zero component. Under the fitted zero-inflated Poisson regression, , whereas . By Bayes theorem, the posterior structural-zero probability is
Using the printed predictions for this patient gives
The fitted conditional probability is about . It is larger than the prior fitted structural-zero probability , because observing no episodes increases the probability of latent membership in that component. The interpretation “never at risk” is the model's structural class; an observed six-month zero alone does not identify the class with certainty.

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