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The model is motivated by a study of the neurocysticercosis (NC) cyst evolution at the cyst\u2010level, taking into account the multiple cysts phases with intermittent missing data and loss to follow\u2010up, as well as the intra\u2010brain clustering of observations made on a predefined data collection schedule. Of particular interest in this study is the description of the process leading to cyst resolution, and whether this process varies by antiparasitic treatment. The model uses shared random effects to account for within\u2010brain correlation and to explain the hidden heterogeneity governing the missing data mechanism. We developed a likelihood\u2010based method using a Monte Carlo EM algorithm for the inference. The practical utility of the methods is illustrated using data from a randomized controlled trial on the effect of antiparasitic treatment with albendazole on NC cysts among patients from six hospitals in Ecuador. Simulation results demonstrate that the proposed methods perform well in the finite sample and misspecified models that ignore the data complexities could lead to substantial biases.<\/jats:p>","DOI":"10.1002\/sim.8663","type":"journal-article","created":{"date-parts":[[2020,6,25]],"date-time":"2020-06-25T13:50:30Z","timestamp":1593093030000},"page":"3195-3206","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["A multistate joint model for interval\u2010censored event\u2010history data subject to within\u2010unit clustering and informative missingness, with application to neurocysticercosis research"],"prefix":"10.1002","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2156-1005","authenticated-orcid":false,"given":"Hongbin","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, Institute for 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