Online Program Home
My Program

Abstract Details

Activity Number: 44 - Innovative Clinical Trial Designs and Analytic Methods in Neuroscience
Type: Invited
Date/Time: Sunday, July 29, 2018 : 4:00 PM to 5:50 PM
Sponsor: Biopharmaceutical Section
Abstract #326712 Presentation
Title: Missing Data Issues in the Studies of Neurodegenerative Disorders: The Methodology
Author(s): Sheng Luo* and Kan Li
Companies: Duke University Medical Center and University of Texas Health Science Center
Keywords: Alzheimer's disease; functional data; functional principal component analysis; latent variables; Parkinson's disease

In the longitudinal study of neurodegenerative disorders such as Alzheimer's disease (AD) and Parkinson's disease (PD), multiple longitudinal health outcomes (continuous and categorical) are measured because these diseases are heterogeneous disorders characterized by multiple impaired domains with variable clinical symptoms and disease progression. Missing data are ubiquitous in these studies due to missed visits, withdrawals, lost to follow-up, death, etc. In this talk, we will first review the state-of-the-art methods in handling missing data in these multivariate longitudinal data structure. We will then present several methods based on latent variable modeling and functional principal component analysis and apply these methods to multiple real studies of AD and PD.

Authors who are presenting talks have a * after their name.

Back to the full JSM 2018 program