Kronecker Product Linear Exponent AR(1) Correlation Structures for Multivariate Repeated Measures

Kronecker Product Linear Exponent AR(1) Correlation Structures for Multivariate Repeated Measures

Longitudinal imaging studies have moved to the forefront of medical research due to their ability to characterize spatio-temporal features of biological structures across the lifespan. Credible models of the correlations in longitudinal imaging require two or more pattern components. Valid inference requires enough flexibility of the correlation model to allow reasonable fidelity to the true pa...

Repeated Measures Correlation

Repeated measures correlation (rmcorr) is a statistical technique for determining the common within-individual association for paired measures assessed on two or more occasions for multiple individuals. Simple regression/correlation is often applied to non-independent observations or aggregated data; this may produce biased, specious results due to violation of independence and/or differing pat...

Multivariate Analysis of Repeated Measures Data

ABSTRACT In this paper, we have used SAS software for the multivariate analysis of repeated measures data due to Grizzel and Allen (1969). We have applied four multivariate methods viz MANOVA, Profile Analysis, non-parametric multisample rank sum test and non-parametric multisample median test to analyse two sets of data. The findings of the study reveal that profile analysis gives similar resu...

Multivariate Contrasts For Repeated Measures Designs Under Assumption Violations

199-30: Testing the Hypothesis of a Kroneckar Product Covariance Matrix in Multivariate Repeated Measures Data

We consider the problem of testing of a Kronecker product structured variance covariance matrix against the unstructured variance covariance matrix in the context of multivariate repeated measures data. A likelihood ratio test statistic is developed for this purpose. However, the test statistic for this test cannot be expressed in a closed form. An algorithm, is suggested for the maximum likeli...