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

Spencer Lourens, Ying Zhang, Jeffrey D. Long, Jane S. Paulsen

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

Executive 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.

Original languageEnglish (US)
Pages (from-to)865-879
Number of pages15
JournalStatistical Methods in Medical Research
Volume26
Issue number2
DOIs
StatePublished - Apr 1 2017

Keywords

  • Cognitive neuroscience
  • Huntington disease
  • Towers Task
  • censored data
  • mixed-effect model
  • semicontinuous data

ASJC Scopus subject areas

  • Epidemiology
  • Statistics and Probability
  • Health Information Management

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