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This analysis found low levels of similarity between the sampling methods (Table 3).
Both before and after atrophy correction for both FDG and PIB, excellent correlations were found between the sampling methods.
There were some differences between the sampling methods used in the two surveys, and in the survey estimates for the state of origin of the CSWs, and the proportions living with a husband or alone (Table A2).
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Nevertheless, in order to take into account the difference of the sampling method between the two surveys (stratification by canton in 2012 and by urban/rural areas in1993), the evolution between the two periods was also tested using an adjusted model on urban/rural features (logistic or linear regression according to the dependant variable studied).
However, the sampling method differed between the two studies which might have some implications for the results.
Testing differences between countries is not planned as the sampling method does not allow inference to countries, but we will take country differences into account when interpreting the results.
In addition to the aforementioned experiments, we discarded artifacts caused by the sampling method, correlation between GO categories or the threshold chosen for establishing the significance by repeating 1000 sampling experiments from the finite population of non-coding DNA elements at random and testing each GO category for enrichment/depletion using a binomial distribution.
Additionally, we have implemented the operators described by Ewing et al., allowing direct comparison between the two sampling methods.
A comparison between the empirical performance of the selected sampling methods applied to three numerical examples, including high-order PCE's, high-dimensional problems, and low oversampling ratios, is presented to provide a road map for practitioners seeking the most suitable sampling technique for a problem at hand.
The good agreement of the qPCR results with the array results for these miRNAs strongly suggests that the differences in the miRNA levels observed between the sample prep methods reflect true differences in the miRNA content of the extracted RNA, and are not artifacts of the measurement assay.
Spearman's rank correlation coefficient significance tests based on ranks that do not assume normality were used as a measure of the association between two paired sampling methods (16).
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