A MCEM based multistate model of interval-censored and correlated panel data for neurocysticercosis study

Hongbin Zhang, Elizabeth Kelvin, Arturo Carpio, Allen Hauser

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2nd International Conference on Statistics
Subtitle of host publicationTheory and Applications, ICSTA 2020
EditorsGangaram S. Ladde, Noelle Samia
PublisherAvestia Publishing
ISBN (Print)9781927877685
DOIs
StatePublished - 2020
Event2nd International Conference on Statistics: Theory and Applications, ICSTA 2020 - Virtual, Online
Duration: Aug 19 2020Aug 21 2020

Publication series

NameProceedings of the International Conference on Statistics
ISSN (Electronic)2562-7767

Conference

Conference2nd International Conference on Statistics: Theory and Applications, ICSTA 2020
CityVirtual, Online
Period8/19/208/21/20

Bibliographical note

Publisher Copyright:
© 2020, Avestia Publishing. All rights reserved.

Keywords

  • MCEM algorithm
  • correlated disease progressions
  • frailty survival model
  • interval-censoring
  • multistate model
  • neurocysticercosis

ASJC Scopus subject areas

  • Applied Mathematics
  • Computational Mathematics
  • Statistics and Probability
  • Theoretical Computer Science

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