Ontology highlight
ABSTRACT:
SUBMITTER: Wang Y
PROVIDER: S-EPMC3640593 | biostudies-literature | 2013 Apr
REPOSITORIES: biostudies-literature
Journal of multivariate analysis 20130401
Many parameters and positive-definiteness are two major obstacles in estimating and modelling a correlation matrix for longitudinal data. In addition, when longitudinal data is incomplete, incorrectly modelling the correlation matrix often results in bias in estimating mean regression parameters. In this paper, we introduce a flexible and parsimonious class of regression models for a covariance matrix parameterized using marginal variances and partial autocorrelations. The partial autocorrelatio ...[more]