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In each analysis, the regions were compared by adding a region by treatment interaction term to the relevant statistical model.
Models with/without the ICT-TB test were compared by adding the ICT-TB test results into the clinical predictor model.
Tests were compared by adding the co-variate test type to the HSROC model and allowing this to have an effect on the accuracy, threshold, and shape parameters.
One group, denoted by (a, b) = (0, 0), now becomes the baseline to which other classes are compared by adding main and interaction effects.
Where meta-analysis was possible, tests were compared by adding a covariate for test type to the bivariate model to assess whether average sensitivity and/or specificity differed between the tests.
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In addition, large particulate size of SiC has a substantial effect on the electric field distributions at high SiC filler concentrations, the contribution of black SiC to the decrease in the electric field is superior to that of green SiC, and the addition of β-form SiC leads to significant low Emax, compared to that by adding α-form SiC.
Our model was also extended compared to P2011 by adding reactions describing ABA-related processes, which introduced 14 more new parameters.
At P407 concentrations cPolox of <22.5 wt.-%, Tgel increased compared to P407 solutions by adding PEG-DA.
In the second part of the study, the single NF and WNF models were compared with each other by adding periodicity component into the their inputs.
The PIS and PHS were calculated and compared with MRI data by adding MI and MH areas in three TTC slices that corresponded to one MRI slice.
The antioxidant strength of CA was compared with synthetic antioxidants by adding CA20, CA60, CA99, BHA, BHT, and TBHQ to tara seed oil and exposing the samples to accelerated oxidation conditions.
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CEO of Professional Science Editing for Scientists @ prosciediting.com