Long-term immunity, evaluated by the persistence of antibody titers, is important to assess duration of protection induced by vaccination. This paper aims at drawing awareness on the risk of misinterpreting persistence results in absence of adjustment for missing or left-censored data. Using simulations, the paper shows that repeated measurement models are an appropriate alternative to control the bias associated to unadjusted persistence results.
Keywords: left-censored data; long-term antibody; missing data; persistence; repeated measurement.