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Principal component analysis (PCA) was performed with SPSS/ PC as the main statistical test.
Since the abundance data were not normally distributed and contained a large fraction of zero values, we employed a negative binomial GLM using DESeq, which was used as the main statistical test for comparison throughout this study.
The main statistical test was an ANCOVA adjusted for baseline values.
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The main statistical tests that answer core questions of the study should be certainly chosen and stated in the experimental design protocol.
The second section briefly describes the main statistical tests used in clinical trials, as well as certain situations that may increase the risk of false positive findings (type 1 error), such as multiple, subgroup, intermediate and non-inferiority analysis.
In Table 1 we present the p values for the main statistical tests of this study.
The main statistical methods were Mann–Whitney U test and bivariate Pearson correlation analysis.
The main statistical techniques currently used are multiple t-tests, factor analysis, principle component analysis and other dimension reduction methods [ 19].
The main statistical inference method used in RQT and RAT is the hypothesis test, so they are often collectively called the reliability verification test (RVT); the main statistical inference method used in RDT is parameter estimation.
The statistical test for DIF is an ANOVA, with main effects, for example for gender, and ability level.
However, one of the main findings of their paper is invalidated by incorrect use of a statistical test.
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CEO of Professional Science Editing for Scientists @ prosciediting.com