Sentence examples for multivariate mixed models from inspiring English sources

Multivariate mixed models were utilized to investigate the relationship between the CD4 slope/VL over time and CRT; models were adjusted for baseline values; interaction between CRT and time was included.

Multivariate mixed models enabled us to estimate the genetic covariance between expression traits in a variance-component form that has a standard interpretation for any pair in a multivariate set of quantitative traits and has well-known statistical properties (Lynch and Walsh 1998).

The results were virtually unchanged when multivariate mixed models were used (Table 3).

We consider the problem of deriving the asymptotic distribution of the three commonly used multivariate test statistics, namely likelihood ratio, Lawley Hotelling and Bartlett Nanda Pillai statistics, for testing hypotheses on the various effects (main, nested or interaction) in multivariate mixed models.

We used multivariate mixed models and the Akaike Information Criterion to determine a minimum adequate model (MAM).

Therefore, these were included as binary variables in the multivariate mixed models to represent wet work exposure.

Multivariate mixed model analyses were performed to identify factors associated with S. aureus colonization.

Multivariate mixed modeling of the genetic covariance among multiple traits substantially improved the detectability of pleiotropy over bivariate analyses.

The multivariate Cox proportional hazards model included the same covariates as the above-mentioned multivariate mixed model.

In order to predict which factors increased the probability of preference for electronic questionnaires, we performed multivariate mixed model logistic regression analyses.

Analyses were performed with multivariate mixed model REML estimation in ASReml V.2 (for general details see Kruuk 2004; Garant and Kruuk 2005).