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The mixed linear analyses were conducted with the statistical program R (the R Foundation for Statistical Computing, Vienna, Austria).
To determine whether there was significant change in the PDs' approaches to teaching over the course of their training, we used mixed linear analyses, with instructor as a random effect, and paired t-tests of pre- and postscores on the ATI, with prescores obtained during the initial workshop as the PDs developed the courses they would teach the following year.
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Subsequent exploratory graphical analyses and mixed linear regression analyses suggested associations between CAPs constituents and biologic responses.
In complex sampling designs (incomplete block designs with several error strata, groups of possibly unbalanced experiments), one often performs mixed linear model analyses, when the normality assumption is tenable.
Peak change from baseline, time to peak, and area under the time response curve were evaluated with repeated measures mixed linear regression analyses, allowing use of data from all sessions for all subjects, including non-completers.
To avoid reduction in sample size, we fitted these particular measurements with a dummy ringer before the mixed linear model analyses.
Complete case and mixed linear model analyses were performed in the aggregate cohort.
This question was answered using generalized Estimating Equations, Poisson regression and Mixed linear models analyses.
Thus, we did not include race as a covariate in the further mixed linear model analyses.
Except for the mixed linear models, analyses were performed using Stata, 9.1.
Differences in PaO2/FiO2 ratio and dynamic compliance between the PEEP steps were analyzed using mixed linear model analyses.
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