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A visual analysis of the two- and the three-class models was carried out to determine if any of the items should be removed from the analysis to decrease the complexity of the model.
When data were split to differentiate results obtained in healthy donors versus septic patients or when only one sample per patient was kept in the analysis (to decrease potential bias associated to serial sampling from the same patient), correlation parameters remained very good (Fig. 2a).
We did not carry out a sub group analysis to decrease the heterogeneity between various studies.
For each element, more than one wavelength was used for analysis to decrease the possibility of matrix interference.
We included the treated samples into the analysis to decrease the inevitable bias induced by inflammation, as shown in the section above.
In contrast, white matter lesion volume had a markedly skewed distribution and therefore scores were log transformed before analysis to decrease the impact of extreme observations.
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One exception was for expression of the innate immune response gene Drosomycin upon heat stress, which was observed to increase in the micro-array analysis, but to decrease in the qPCR analysis (Table 2).
Finally, this was followed by a dynamic analysis of the whole transcriptome (using Gene Expression Dynamics Inspector and cluster analysis tools) to decrease the high dimensionality of the data and annotate coordinated genome wide responses that occur over age and by genotype.
In the simulations for Bragg mirror, we used λ BM =700 nm, n 1=1.47, and n 2=2, whereas the number of layer pairs, N L, is varied from 1 to 3. We chose this number of layer pairs to facilitate the analysis, namely, to decrease the number of analyzed modes, since the number of layer pairs directly determines the number of modes.
This quantitative rather than qualitative comparison done by fractal dimension numerical analysis helps to decrease the quality assurance errors in IMRT dosimetry verification.
Another limitation is that we determined what would constitute "serious" disease post hoc, after data collection but before analysis, partly to decrease the potential for bias among the examiners; however we do not expect either of the two definitions we used to be particularly controversial among ophthalmologists.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com