Multivariate longitudinal data analysis with censored and intermittent missing responses

• Published in: Statistics in medicine Vol. 37; no. 19; pp. 2822 - 2835
• Main Authors: Lin, Tsung‐I, Lachos, Victor H., Wang, Wan‐Lun
• Format: Journal Article
• Language: English
• Published: England Wiley Subscription Services, Inc 30.08.2018
• Subjects: censored data; ECM algorithm; Economic models; HIV AIDS study; Missing data; missing‐data imputation; Normal distribution; truncated multivariate normal distribution; missing-data imputation; ECM algorithm; censored data; truncated multivariate normal distribution; HIV AIDS study
• ISSN: 0277-6715; 1097-0258; 1097-0258
• DOI: 10.1002/sim.7692

The multivariate linear mixed model (MLMM) has emerged as an important analytical tool for longitudinal data with multiple outcomes. However, the analysis of multivariate longitudinal data could be complicated by the presence of censored measurements because of a detection limit of the assay in comb...