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The results provided some useful insights for further improvement of the model and reduction of the output uncertainties through separate-effect experimental studies.
In our study, we first demonstrated that miR23b effectively reduces neuropathic pain by reducing the expression of the inflammation-promoting factor, NOX4, in an animal model, and reduction of miR23b expression produced pain symptoms.
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Thus there may be differential roles for JNK1 and JNK2 in protection from liver injury, however these findings are not consistent across different models, and reduction of JNK2 expression does not consistently have deleterious effects.
The Akaike information criterion (AIC) was applied for metabolite-specific stepwise model evaluation and reduction of model complexity with regards to fixed effects (all fixed effects except time were considered optional).
Besides, experiments must often be designed for estimation of model parameters and reduction of variances of model predictions (or parameter estimates).
Application of statistics to data sets from toxicologic pathology studies involves hypothesis testing, model fitting, and reduction of dimensionality.
In this paper, we have presented a strategy for model simplification and reduction based on the CSP method.
There are always new models and reductions on old models.
At the next step, post-baseline values for baseline variables selected by the stepwise procedure were added to the model, and model reduction using stepwise selection was applied.
Possible control options were prepared based on the model and the reduction of risk was simulated for each scenario.
Moreover, the fitting and ranking procedure can be reproduced online at http://modelmage.org using the master model and the reduction directives provided in Supporting Information S1.
Write better and faster with AI suggestions while staying true to your unique style.
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