@inproceedings{870400639cc64287bb0ae1a9e20a1169,
title = "A MCEM based multistate model of interval-censored and correlated panel data for neurocysticercosis study",
abstract = "We propose a multistate model to analyse interval-censored event-history data subject to within-unit clustering. The model is motivated by a study of the neurocysticercosis evolution at cyst-level, considering the multiple cysts phases within the brain at pre-scheduled imaging time points. Of interest is the study of the intra-brain distribution of the process leading to cyst resolution, and whether this distribution varies with the anthelmintic treatment. We develop a likelihood-based method using Monto Carlo EM algorithm for the inference. The practical utility of the methods is illustrated using data from a longitudinal study on albendazole's therapeutic effect among patients from six hospitals in Ecuador.",
keywords = "correlated disease progressions, frailty survival model, interval-censoring, MCEM algorithm, multistate model, neurocysticercosis",
author = "Hongbin Zhang and Elizabeth Kelvin and Arturo Carpio and Allen Hauser",
note = "Publisher Copyright: {\textcopyright} 2020, Avestia Publishing. All rights reserved.; 2nd International Conference on Statistics: Theory and Applications, ICSTA 2020 ; Conference date: 19-08-2020 Through 21-08-2020",
year = "2020",
doi = "10.11159/icsta20.105",
language = "Ingl{\'e}s",
isbn = "9781927877685",
series = "Proceedings of the International Conference on Statistics",
publisher = "Avestia Publishing",
editor = "Ladde, \{Gangaram S.\} and Noelle Samia",
booktitle = "2nd International Conference on Statistics",
}