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Behavioral data (SDQ) were analyzed by repeated measure ANOVA (factor 1: group, repeated variable: information source (parent- and self-report)).
We performed repeated-measured analysis of variance with 'time' as the repeated variable to compare the variables of spirometry between different time points and the level of significance, Bonferroni-corrected α was set at 0.016667 (α = 0.05/c1, taking one from the four different postoperative time points for comparison with the baseline time 0) in the post hoc F test.
Serum Cu data were analyzed using the general linear model procedure with horse, treatment and period as main effects and time as the repeated variable.
Repeated measures ANOVAs with species and life-history stage as factors and test temperatures as the repeated variable were conducted to test for ontogenetic shifts and between-species differences in heart rate at different environmental temperatures.
To explore the sensitivity of this selection criterion we repeated variable selection with a p-value of 0.157 [ 30].
This was done using the GENMOD procedure in SAS, with the unique identifier for each collision as the repeated variable.
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Similar and repeated variables in DoD can then assist in the development of common data elements in a biomedical research field/domain.
The repeated variables ocellus and wavelength were treated as fixed effects.
The final model obtained from stepwise backward analysis was confirmed by repeating variable selection with forward stepwise analysis.
In this manner, drug dose (vehicle or antagonists) was the between subjects variable and time was the repeated subjects variable.
A repeated-measures overall ANOVA was also performed with 'lesion group' as a between subjects variable and 'drug' as a repeated measures variable.
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