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For comparison of multiple measurements, repeated measures analyses of variance (ANOVA) according to Fisher were performed.
Statistical analyses included repeated measures analyses of variance, analysis of covariance and structural equation models.
Data were analysed by means of repeated measures analyses of variance and multiple regression analyses.
Repeated measures analyses of variance (ANOVA) with the factor treatment (Caffeine/NDRI/Placebo) was used to explore the effect of exercise on fluid loss.
Repeated measures analyses of variance showed that participants could discriminate the different strain induced by the input methods and tasks.
Repeated measures analyses of variance and polynomial trend analyses compared the timecourse of the response patterns between the two conditions.
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We analyzed clinical, functional, and radiographic measurements with a series of repeated-measures analyses of variance (ANOVAs) with post-hoc testing to assess differences between preoperative, one-year postoperative, and most recent follow-up data.
T-tests and repeated-measures analyses of variance (ANOVAs) were used to analyse hormone data and physical measurements.
For Experiment 1, one-way repeated-measures analyses of variance (ANOVA) were used to analyze the effects of nicotine, varenicline, cytisine, and 3-pyr-Cyt on ICSS parameters.
Slopes and R2 were compared with separate repeated-measures analyses of variance with two factors: task (size vs. distance) and tDCS (anodal vs. cathodal vs. sham).
Kilocalories of food consumed, ratings of satiation and food-liking, and milliliters of water consumed were statistically compared across conditions using repeated-measures analyses of variance.
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