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The uncertainty about the duration and persistence of fibrosis in some bleomcyin rodent models has led some researchers to cast doubt over the appropriateness of using this model to trial novel therapies, one of the primary uses of the model [ 9].
Our analysis, supported by findings from fitting the base-case model to trial data and sampling >2 million parameter combinations, suggests that a possible explanation for the lack of a detectable population-level impact in Thibela TB is that IPT cured a small proportion of latent infections, at least among HIV-positive miners.
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To extend the model to trials with three or more arms would require careful consideration of correlation in treatment effects across arms and within studies [ 5, 50].
We fitted linear models to trial data, enabling simple characterization of the optimal dose for reducing R and the attack rate.
Our approach of estimating efficacy by fitting linear models to trial data provides a simple means of comparing vaccines on the basis of their population impact, taking into account both efficacy and coverage.
We conducted our analyses on log-transformed RT (excluding error trials), first fitting models to trial-level data and then to item averages.
As both host studies were randomised controlled trials interaction terms were fit into a regression model to test for any respective trial effects on the outcome variables.
Accordingly, we used the active inference model to predict trial-by-trial variations in neuronal responses.
In light of this, many researchers have called for the development of large animal models to test preclinical trials for CNS disease, including SCI [1], [8], [9], [10].
We do not advocate creating a single model to predict trial outcomes but instead explicitly modeling uncertainties in the underlying biology and evaluating their impact on trial outcomes.
Use a developer-driven model to drive trial and inbound activity.
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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