Dynamic longitudinal discriminant analysis using multiple longitudinal markers of different types

• Published in: Statistical methods in medical research Vol. 27; no. 7; pp. 2060 - 2080
• Main Authors: Hughes, David M, Komárek, Arnošt, Czanner, Gabriela, Garcia-Fiñana, Marta
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publications 01.07.2018
• Subjects: Adolescent; Adult; Aged; Aged, 80 and over; Algorithms; Biomarkers; Child; Child, Preschool; Discriminant Analysis; Disease Progression; Female; Humans; Longitudinal Studies; Male; Middle Aged; Young Adult; multivariate longitudinal data; random effects; Discriminant analysis; multivariate generalized linear mixed model; mixture distributions
• ISSN: 0962-2802; 1477-0334
• DOI: 10.1177/0962280216674496

There is an emerging need in clinical research to accurately predict patients’ disease status and disease progression by optimally integrating multivariate clinical information. Clinical data are often collected over time for multiple biomarkers of different types (e.g. continuous, binary and counts...