Abstract:
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In most randomized trials, the study protocol specifies the data-collection schedule. As-needed visits can also occur when participants seek additional care due to their characteristics and the occurrence of adverse outcomes. In addition, data-collection schedules can be interrupted by observation gaps, during which participants are not at risk for an event or physician visit; these gaps constitute discontinuous risk intervals. In a randomized trial that compared the efficacy of two anti-malaria vaccines, as-needed visits were common due to vaccine side effects and malaria symptoms, and, after a diagnosis of malaria, participants received treatment and were considered not at risk for a new malaria episode for 28 days. We introduce a generalized joint regression model for the longitudinal outcomes of interest and the observation times that can accommodate outcome-dependent observation times. Modified risk sets in the observation-time model accommodate discontinuous risk intervals. We illustrate the utility of our method using the vaccine trial and show that our method performs well under different patterns for outcome-observation dependence and discontinuous risk intervals.
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