Analysis of longitudinal censored semicontinuous data with application to the study of executive dysfunction: the Towers Task

dc.contributor.authorLourens, Spencer
dc.contributor.authorZhang, Ying
dc.contributor.authorLong, Jeffrey D.
dc.contributor.authorPaulsen, Jane S.
dc.contributor.departmentBiostatistics and Health Data Science, School of Medicine
dc.date.accessioned2024-03-12T08:17:08Z
dc.date.available2024-03-12T08:17:08Z
dc.date.issued2017
dc.description.abstractExecutive dysfunction is a deficiency in skills of planning and problem solving that characterizes many neuropsychiatric disorders. The Towers Task is a commonly used measure of planning and problem solving for assessing executive function. Towers Task data are usually zero-inflated and right-censored, and ignoring these features can result in biased inference for the disease characterization of executive dysfunction. In this manuscript, a mixed-effects model for longitudinal censored semicontinuous data is developed for analyzing longitudinal Towers Task data from the PREDICT-HD study. The model is contrasted with current practice and implications for general use are discussed.
dc.eprint.versionAuthor's manuscript
dc.identifier.citationLourens S, Zhang Y, Long JD, Paulsen JS. Analysis of longitudinal censored semicontinuous data with application to the study of executive dysfunction: The Towers Task. Stat Methods Med Res. 2017;26(2):865-879. doi:10.1177/0962280214560187
dc.identifier.urihttps://hdl.handle.net/1805/39174
dc.language.isoen_US
dc.publisherSage
dc.relation.isversionof10.1177/0962280214560187
dc.relation.journalStatistical Methods in Medical Research
dc.rightsPublisher Policy
dc.sourcePMC
dc.subjectCognitive neuroscience
dc.subjectHuntington disease
dc.subjectMixed-effect model
dc.subjectCensored data
dc.subjectSemicontinuous data
dc.subjectTowers Task
dc.titleAnalysis of longitudinal censored semicontinuous data with application to the study of executive dysfunction: the Towers Task
dc.typeArticle
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