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We carried out an interaction test using a random effects metaregression model to assess whether the difference in standardised mean differences varied by type of intervention.
To compare the preserved patterns among these five yeast species, the relative ratios of three adjacent patterns were analyzed by chi-square test using a random sampling as reference (0.25 : 0.25 : 0.5) (Table 1).
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Upon presentation with testing criteria, children were randomly selected for respiratory testing using a random number generator and then referred to the HCSFV clinical laboratory.
For validation, the two examiners were tested using a random sequence of hidden beads.
These assumptions were tested using a random sample of 1,000 addresses.
In a pilot study the questionnaire was tested using a random sample of 148 GPs and specialists in the Netherlands.
Consistent effects across subjects were tested using a random effects multiple regression analysis that considered, for each subject, 8 contrast images.
Prior to extraction of data, the form will be pilot tested using a random sample of 10 of the included full-text citations.
For the inhibitor studies and the luciferase assays, difference in fold change over treatment was tested using a random-intercept mixed model.
32 We ran a likelihood ratio test using a null model (without the random intercept).
It is possible to generate test data using a random or a pairwise approach, and a relation of the inputs with the outputs obtained can be displayed if a simulator is present.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com