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The two conditions i) CBT and ii) TAU will be compared using random effects modelling.
Continuous outcomes will be compared using random effects linear regression, where assumptions are met.
Binary secondary outcomes will be compared between treatment arms (IPB plus facilitation versus control and IPB only versus control) using random effects logistic regression and ordinal outcomes will be compared using random effects ordinal regression.
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The BER performance is compared using random pilot allocation and optimized PCE-based pilot allocation.
At the group level, activations for different conditions were compared using random effects analyses with a threshold of p<.001 (uncorrected).
Typically when hierarchical models are used to characterise mortality, providers are compared using random effects estimators.
Activations for all conditions (all vs. fixation) in each experiment were compared using random effects analyses with a threshold of P < 0.01.
Improvement between acupuncture groups (based on the perceived ratings of change) will be compared using logistic regression with random effects as above and presented as odds ratios with 95% confidence intervals.
Impact of dropout on our results will be compared using assumptions that vary from missing at random to informative missing.
Respiratory periods, the distribution of time lag between inspiratory and expiratory burst peak times, the effect of time lag on the amplitude of respiratory bursts and percentage of respiratory deletions were compared using mixed random effects ANOVA with mouse as the random effect and least-squares mean values were determined.
The measuring range used was 0.02 0.2 mg L− 1 phosphate and both univariate and multivariate regressions have been compared using a random sample, reaching the same concentration (0.065 ± 0.002 mg L− 1).
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