Analysis Of Ordinal And Continuous Multivariate Longitudinal Data

In biomedical studies, multiple measures of life characteristic often are recorded over time, such measures are frequently correlated as multivariate longitudinal data. Joint analysis of the outcomes variables has several potential advantages over separate analyzes.Herein we propose models for analysis of repeated measurements on continuous and ordinal variables measuring the same latent trait over time. Assuming conditional independence given random effects,we obtain the marginal likelihood density using numerical integration,then the maximum-likelihood estimation.