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Repeated measures were planned to be analyzed using mixed effects models.
Acute and long-term effects of the interventions (respectively 6 and 12 months) will be analyzed using mixed regression.
Data will be analyzed using mixed effect linear models to exclude any 'carry-over' and 'temporal' effect of the treatment and to test the time effect of TN.
Secondary outcomes, including the BDI-II, PAT-D, SF-36, and ISI will be analyzed using mixed models repeated measures analysis of covariance using techniques like those described for the primary outcomes.
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Spatial distribution of trees can be investigated using spatial point pattern analyses, while inter-seasonal and inter-tree variation in fruit amounts, fruiting peak time and fruiting duration can be analyzed using mixed-effect models.
For data with a repeated measure factor, data were analyzed using mixed models (Proc Mixed) with Kenward-Rodger degrees of freedom that can be fractional.
Data on all experiments were analyzed using mixed models.
Data were analyzed using mixed models with repeated measures.
Data were analyzed using mixed effect models by REML.
Loading time was analyzed using mixed model procedures, and stress responses were analyzed using generalized linear mixed model methodology.
Data were analyzed using generalized linear mixed model methodology, and loading time was analyzed using mixed model procedures.
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