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A model was build to relate FA to FGF, FD, time, and the following patient covariates: age, height, and weight.
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A model was built and validated, and recommendations for new designs were given.
A model was built using a training set with logistic regression.
A model was built based on this alignment and it was structurally evaluated with WHATCHECK.
A model was built in Microsoft Excel to replicate pathway steps and estimate costs.
A model was built using mechanical components to represent the passively breathing, mechanically ventilated lung.
A model was built using these 17 genes (data not shown).
A model was built containing the volume and unit cost parameters of the teledermatology and conventional process.
Specifically, a model was built on each of the 1000 training sets following the same process as described above.
To assess classification power of the identified genes, a model was built in the glmnet software package.
For each covariate, a model was built including this covariate and an interaction term of a covariate and a time-dependent covariate.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com