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Results obtained from image analysis were tested for normal distribution and comparisons were made with non-parametric Mann-Whitney test or the unpaired two-tailed Student's t test.
Three methods of statistical analysis were tested for their ability to predict YAN at harvest from the veraison and preharvest samples.
The models of multivariate analysis were tested for their appropriateness before deciding to interpret the results.
The SNPs in the follow-up analysis were tested for association with statistical models that included age and sex so the results would be comparable to the GWAS.
VE was defined as (1 – OR *100) as previously published [12] the adjusted odds ratios for LAIV and TIV in the vaccine stratified analysis were tested for homogeneity using a conditional logistic regression model.
The various factors identified in the univariate analysis were tested for intercorrelation.
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The analysis is tested for both, write and read modes.
Track curvature analysis was tested for statistical significance using Kolmogorov Smirnov two-sample test.
The decision-tree model generated by the recursive partitioning analysis was tested for its ability to stratify patients in the validation cohort.
The decision tree model generated by the recursive partitioning analysis was tested for its ability to stratify patients using the validation cohort.
An essential analysis is testing for stationarity and finding the order of differencing that makes the series stationary.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com