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Statistical tests for independent sampling were applied to test for differences between groups as we used a different subcolony for each observed winged male (and did not re-use existing subcolonies).
This was done using the bootstrap command in Stata using 1000 replications and the strata option to allow for independent sampling within each facility.
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The data in Figs 4b,d, 5e, S3b, S3c and S4c are presented using the two-tailed Student's t test for independent samples by R software.
The methods included correlation analysis, mean comparison t-test for independent samples, and single sample t-test.
The t test for independent samples was used to compare the home-monitored subgroup with the outpatient-only group.
Student's t-tests for independent samples were used for comparisons between means.
Statistical significance between experimental groups was calculated using two-sample t test for independent samples.
Statistical evaluation was carried out with Student's t tests for independent samples.
T test for independent samples, considering the level of significance of 5%% (p < 0.05), was used.
The comparative analysis was carried out by using the parametric T-test for independent sample.
When the distribution was nonparametric, a Mann–Whitney test for independent samples was performed.
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