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Using the model prediction and the estimated variance as two parameters, we randomly sampled from the lognormal distribution for each endpoint in each fish.
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As the ratings for each of the three endpoints for the 28 symptom domains were found to have skewed distributions, medians and interquartile ranges were calculated for all symptom domains for each endpoint for accurate comparison.
For each endpoint, 5-9% of datapoints were missing.
Illustrative examples of calculations of trial sizes for each endpoint type are included.
The results of the transformation-driven optimization for each endpoint are described below.
For each endpoint, an intervention is more desirable than others with a larger SUCRA value.
Furthermore, a NMA was performed for each endpoint with a Bayesian framework using R 3.2.3 software.
The practical significance is defined for each endpoint individually and is subjective.
Then one model for each endpoint was chosen and included in the CAESAR web tool.
Each component maintains an access control list (ACL) for each endpoint describing the components that may connect.
Separate groups of animals were used for each endpoint.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com