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To implement this analysis, some additional computational efforts can be justified.
We used gada package of R software (http://www.r-project.org/) to implement this analysis.
As with univariable analyses, it proved possible in practice to implement this analysis to investigate potential modifiers of the effects of larger versus smaller portions, packages, individual units or tableware on: (a) consumption of food and tobacco; and (b) on the selection (without purchase) of food.
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The domain selected to implement this sensitivity analysis is the Northern Italy domain, an area often affected by high exposure to PM10, due to very high anthropogenic emissions and particular meteorological conditions.
We implement this analysis in a SmartCM tool; thereafter evaluate its capacity to detect such a fault based mutant.
We implement this analysis strategy at the design stage by decreasing the significance level used in a conventional power computation.
Yet, the present study is the first to implement this standard method of statistical analysis to estimate one-sided RIs of quantitative cord G6PD.
Owing to such differences and other methodological variations, the possibility to implement this rigorous form of replication analysis is quite limited.
To implement this, one performs IBD or linkage analysis as described above, with or without SNP chip data, prior to variant filtering.
Further experiments and validation are necessary for the method in order to implement this elegant procedure in the routine analysis of food and feed samples.
Based on the principles outlined by Trick et al.[ 13] it differs in that the Perl-script enhanced comparison of genotype specific variant lists is obtained and further processed by different utilities of the SAMtools package rather than the somewhat older MAQ, overcoming several problems related to implementing this type of analysis with the latter.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com