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Samples were applied using a Micro dispenser (DRUMMOND).
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Two-factor ANOVA for studying variance between and within samples was applied using Microsoft Excel 2010.
Afterwards, the working standards of different concentrations and grape sample were applied using a micro dispenser.
The sample was applied using an automatic injector and separated on a Zorbax SB-C18 column, 250 mm × 4.6 mm at 25°C.
To compare the distributions of two unpaired samples with non-Gaussian or unknown distributions, the rank-sum Mann-Whitney (MW) test and the two sample Kolmogorov-Smirnov (KS) test were applied using the significance threshold α = 0.05.
Bootstrap sampling weights, as provided by Statistics Canada, were applied using Balanced Repeated Replication (BRR) to all analyses to adjust for the complex survey design of the CCHS and to produce estimates reflecting a sample of the Ontario population weighted over three time points.
The constraints τ a 1 2 > τ a 0 2 and τ g 1 2 > τ g 0 2 were applied using a rejection sampler, so that "large" and "small" effects remained identifiable.
A stratified, two stage random cluster sample design was applied, using schools as the primary sampling unit.
Therefore, additionally a snowball sampling method was applied, using reference lists of various papers and books, starting with Hans Rieder's book "Epidemiological Basis of Tuberculosis Control" [18], supplemented with literature identified from the authors' personal libraries [19] [23].
An optical fractionator systematic random sampling scheme was applied using Stereo Investigator (MBF Bioscience).
In order to evaluate factors associated with quit smoking after cancer diagnosis, a logistic regression model with the appropriate sampling weights was applied (using Proc Surveylogistic in SAS).
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