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Linear mixed model analyses were conducted.
Mixed model analyses were performed with STATA software (release 13; StataCorp., College Station, Texas, USA).
Separate mixed model analyses of variance were used to compare three-dimensional scapular kinematics and muscle activity during the ascending phases of both tasks.
The effect of the morphology of froglets at Gosner stage 46 on jump length was analysed with mixed model analyses of variance (ANOVAs).
In mixed model analyses, the Satterthwaite approximation was used to calculate the denominator degrees of freedom in the mixed models [52].
For mixed model analyses and associated post-hoc tests I used SAS, and for the remaining analyses I used Statistica 6.1 software.
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All mixed-model analyses were conducted using the Proc Mixed procedure of SAS, and models without random effects were conducted using the Proc GLM procedure.
Mixed-model analyses for repeated measures were performed using the baseline scores as reference.
As part of the mixed-model analyses, all data sets were checked for multicollinearity among moderators.
Mixed-model analyses adjusting for age, education, age at depression onset, race, baseline MADRS score, scanner, and interaction with time examined predictors of MADRS scores over time.
The results from the mixed-model analyses were consistent with the ITT analyses for both exercise (p<0.001) and TPA (p = 0.0009).
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mixed logit analyses
mixed regression analyses
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