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The statistical significance of the proportion comparison was addressed by the chi-square test or Student´s t-Test with a statistical significance p < 0.05.
Our analytical method consists of two steps: a mean or proportion comparison and a regression analysis.
Proportion comparison z tests were used to compare proportion of detected endemic genes in each management system.
Proportion comparison of the variables to evaluate effectiveness were examined by chi-square.
Proportion comparison was performed by means of a Chi-squared test with Yates correction when it was considered necessary.
Dichotomous and nominal data will be displayed as a proportion; comparison of clinical data will be examined and tested for significance using the χ test.
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For proportion comparisons, Fisher's exact test was used when observed proportion fell below 10% in any cell.
Wilcoxon rank-sum and Kruskall-Wallis tests were used for group comparisons, and Fisher's exact tests for proportion comparisons.
For the bivariate proportion comparisons, the Pearson chi-square method or the Fisher exact test method were applied.
Mean and proportion comparisons were performed using the t Student test and the Chi-square test respectively.
To our knowledge, this is the first detailed comparison of power and false positive proportion comparisons between existing interaction analysis approaches and those based on information theory.
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