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† While 95% Confidence Intervals are not listed due to space limitations, the estimates with appropriate statistical testing conducted on the various differences are reliable according to the Census Bureau.
Differences in HPV type-specific prevalence of those receiving three doses of vaccination and no vaccination were assessed via a z-test of two proportions using the Bonferroni correction (significance level, α=0.05/22) to account for the multiple statistical testing conducted for the 22 non-vaccine HPV types.
Control group participants were significantly more likely to drop out of the program; IRC administrative records revealed that financial issues/lack of confidence in group savings activities was more frequently cited by control women as reasons for leaving the program (no statistical testing conducted).
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Because of the large number of statistical tests conducted in Q-statistics run across complete residential histories, multiple testing bias is a concern.
Due to the number of statistical tests conducted overall, however, some statistically significant differences could be due to chance.
This is not likely to explain all of the significant associations we observed, however: out of the 246 statistical tests conducted, 43% were statistically significant.
Given the large number of statistical tests conducted, we would have expected at least three statistically significant associations; thus, these quartile associations are likely due to chance.
Before the primary analyses, data were examined for violations of assumptions of the statistical tests conducted (that is, multiple regression).
GWAS data must be analyzed with considerations for an inflated rate of false positives among the numerous statistical tests conducted.
Statistical tests conducted use a competitive null hypothesis.
Bonferroni multiplicity correction adjusts the threshold for statistical significance by the number of statistical tests conducted.
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CEO of Professional Science Editing for Scientists @ prosciediting.com