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All measures were analyzed using the Rasch analysis.
Relationships between data sets were analyzed using the Pearson correlation coefficient.The relationship between viscosity perception and salivary amylase measures were analyzed using one-way ANOVAs, with amylase quartiles as the categorical factor.
All secondary efficacy measures were analyzed using observed data only.
Repeated measures were analyzed using linear mixed models.
Data on the four dependent measures were analyzed using multivariate logistic regression analyses.
Clinical outcome measures were analyzed using a paired samples t-test (two-sided α = 0.05).
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*The effect of the US versus placebo US on outcome measures was analyzed using a Group USS and placebo US) × Time (Pre, Post, and follow-up) mixed model ANOVA at significance level ≤.05.
Four different sensitivity measures are analyzed using this condition and the results are illustrated in a detailed case study where a comparison with local design and Bayesian design is made.
The between-group comparability of different intervention measures was analyzed using the NOS.
The possible association between economic evaluations and burden of disease measures was analyzed using parametric (Pearson's r) and non-parametric correlation analyses (Spearman's ρ).
Data for each measure were analyzed using a four-way analysis of variance (ANOVA) using strain, sex, handling (i.e. underwent the EHLP or did not), and housing (i.e. individually or group housed) as between subject factors.
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