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The linear mixed-effects models, therefore, provides flexibility of modeling not only the means of data (as in the standard linear model) but their variances and covariances as well [ 14].
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Models therefore provide valuable tools.
These models therefore provide some evidence of a testosterone-independent association between circulating estrogens and T2DM in men.
Lpcat3-deficient mouse models therefore provide an unprecedented opportunity to study the physiological and pathophysiological consequences of manipulation of membrane phospholipid composition in vivo.
Animal models therefore provide a valuable approach to study the effects of opiates on lentivirus pathogenesis in a more controlled environment.
Zebrafish mutant models therefore provide the possibility to study functions of the innate immune system with minimal interference of adaptive immunity (at embryo and larval stages).
Predictive models, therefore, provide significant advantages in clinical decision-making only if they are customized to the specific population of patients to be investigated.
Organotypic culture models therefore provide both the biochemical signaling barriers that must be overcome for initial proliferation to occur, and the microenvironmental context in which pre-invasive tumor cells must survive and propagate.
The quantitative aspect of the model therefore provides new possibilities in catalyst design.
Our response-averaging model therefore provides the same consequence in terms of firing rates as the model by Reynolds et al. We finish by addressing the possible model selection methods for probability mixing and response averaging on real data.
Our data show that grain size is likely to be strongly influenced by combinations of certain alleles, and the regression equation model therefore provides a useful tool for rice molecular breeding.
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