Analysis of longitudinal censored semicontinuous data with application to the study of executive dysfunction: The
Spencer Lourens1, Ying Zhang2,3, Jeffrey D Long4
11 Department of Biostatistics, University of Iowa, Iowa City, USA.
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.
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