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Significant differences in mapping frequencies were assessed using multiple comparisons of proportions tests [ 44].
Independent sample t-tests, Mann Whitney U tests and proportions tests were selected accordingly.
Chi-square or binomial proportions tests were used to calculate proportions.
The significance of differences between proportions were compared using z-ratios with two-tailed, independent binomial proportions tests.
In both analyses, significance of differences in mapping frequencies were assessed using multiple comparisons of proportions tests [ 44].
T-tests or (M ANOVA will be used for continuous variables, Chi square tests, the Wilcoxon tests, and difference of proportions tests for discrete variables.
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Table 1 details the mixture proportions tested.
Table 3 presents the mix proportions tested.
The performance was above chance levels and stable throughout the testing (binomial proportions test, p>0.05).
Data on the number of patients tested for M.genitalium, the proportions testing positive, and demographic and behavioural characteristics were analysed.
Differences in prevalence were assessed by using the proportions test in R version 2.11.1 (www.R-project.org).org
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