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A mixed-effects model repeated measures approach was used to account for missing data in our longitudinal assessments of safety (i.e. weight and vital signs) and efficacy.
A within-subject, repeated measures approach was used to test for change in the measures by comparing the baseline scores obtained at the pre-training assessments to scores obtained during the post-training assessments.
To assess non-inferiority for the primary endpoint, the upper bound of the two-sided 95% CI of the least squares (LS) mean difference, estimated using a mixed-effect model with repeated measures approach, was compared with a pre-defined non-inferiority margin (<0.40 % HbA1c; <4.4 mmol/mol).
Furthermore, the analytical method used in the article (likelihood based mixed models repeated measures approach) was added after completion of the protocol, but the journal article did not mention that the analysis it presented was not the primary efficacy analysis specified in the protocol.
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A mixed model repeated-measures approach was used to analyze continuous variables with repeated measurements.
The ballot-measure approach was put into action in November 2012, when voters in Montana, Colorado and 175 cities, including Chicago, San Francisco, and more than half the cities in Massachusetts, passed measures instructing Congress to support a constitutional amendment to overturn Citizens United.
Simple linear models were used to examine associations with antibody levels, whereas repeated measures approaches were implemented for the cytokine secretion variables.
The proposed measuring approach is shown to be simple to install and theoretically founded.
The performance measure approach is applied to the formulation of the optimization problem.
The performance measure approach is employed to improve the convergence and the stability in solving the inner-loop.
Moreover, the geometrical properties of periodic oscillation of the iterative formulas derived from the FORM and performance measure approach are analyzed and compared.
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