Multivariate longitudinal analysis for the association between brain atrophy and cognitive impairment in prodromal Huntington’s disease subjects

• Published in: Journal of the Royal Statistical Society Series C: Applied Statistics Vol. 73; no. 1; pp. 104 - 122
• Main Authors: Zheng, Cheng, Tong, Lili, Zhang, Ying
• Format: Journal Article
• Language: English
• Published: US Oxford University Press 01.01.2024
• Subjects: generalised estimating equation; disease progression modelling; measurement error; Huntington’s disease; longitudinal data; Disease Progression Modeling; Huntington’s Disease; Measurement Error; Longitudinal Data; Generalized Estimating Equation
• ISSN: 0035-9254; 1467-9876
• DOI: 10.1093/jrsssc/qlad087

Abstract Cognitive impairment has been widely accepted as a disease progression measure prior to the onset of Huntington’s disease. We propose a sophisticated measurement error correction method that can handle potentially correlated measurement errors in longitudinally collected exposures and multiple outcomes. The asymptotic theory for the proposed method is developed. A simulation study is conducted to demonstrate the satisfactory performance of the proposed two-stage fitting method and shows that the independent working correlation structure outperforms other alternatives. We conduct a comprehensive longitudinal analysis to assess how brain striatal atrophy affects impairment in various cognitive domains for Huntington’s disease.