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This will be done using multiple linear regression, with the baseline arm symptoms score as a covariate and the final arm symptoms score as the outcome variable.
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Data analyses were done using multiple linear regression at p = 0.05.
This was done using multiple Gage R&R (repeatability & reproducibility) studies and an experimental design approach.
This was done using multiple regression analyses separately for the migraine and control groups with BMI as the dependent variable.
This was done using multiple regression to establish a panel of background markers under the assumption that constitutively these markers do not act epistatically.
In the case of significant variation proved by the KWH-test, post-hoc pairwise comparisons between the groups were done using multiple MWU-tests.
This was done using multiple passes through the read file, if necessary.
Clustering analysis was done using multiple dimensional scaling and hierarchical clustering methods.
A search of the literature was done using multiple databases, ie, MEDLINE, PsychInfo, Pubmed, EMBASE, Social Work Abstracts, and Cochrane.
To ensure robust results, cross validation was done using multiple (20) iterations of random subset withholding (leave 10% out).
Interaction analysis was done using multiple methods, including those originally reported and the most powerful methods described.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com