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Next, we assessed if the remaining variables (with a P-value of ≥0.2 on bivariate analysis) could have a relevant effect on the models by including them one by one.
Importantly, to assure that bound modifications would have an effect on the models' solution space, reactions' flux bounds are modified within an effective flux range.
In multi-response problems, the first step is the accurate determination of the regression coefficient because contamination and outlier data can have a negative effect on the models.
To account for presence of other cancer types of interest, we incorporated in our models additional covariate, but because there were only a few individuals with such other types of cancers, the inclusion or exclusion of the covariate had no effect on the models (data not shown).
Again, further adjustment had little effect on the models (P = 0.002 for model 2, detailed data not shown).
Adding a second marker for total body fat (WHR) to these models only had an additional effect on the models with SHBG.
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'One-At-a-Time' is a relatively simple SA method, which mainly involves changing one input variable at a time to see its effect on the model output.
The field length had only moderate effect on the model output sensitivity to the model inputs.
But smaller white lies even at a high rate of occurrence had a different effect on the model.
Temperature had no significant effect on the model (p-value = 0.9322) at a 95% confidence interval.
For all cases, time was found to have an effect on the model's sensitivity.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com