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We adjusted for testing period (as an indicator variable) to reduce the impact of seasonality.
Alpha levels are not adjusted for testing of multiple dependent variables.
The resulting P values were adjusted for testing of multiple hypotheses using the Benjamini-Hochberg procedure that controls a false discovery rate.
This stringent threshold adjusted for testing of multiple positions and also accounted for the non-random correlation between sequencing errors at the same position which leads to over-inflated quality values.
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Probability values were adjusted for multiple testing using the False Discovery Rate (FDR) method [ 50].This method uses a controlled FDR while adjusting for testing simultaneously across multiple subgroup comparisons of sex and diet groups.
Mean prevalence estimates were adjusted for test sensitivity and the specificity using Rogan-Gladen corrections (RGC).
Incidence estimates were not adjusted for test sensitivity because the molecular methods used for viral diagnostics generally show extremely high sensitivities if appropriate and timely specimens are tested.
When adjusted for test sensitivity, observed rates of hospitalization underestimated influenza-associated hospitalization rates for all age groups but especially for adults >65 years.
Adjusting for test sensitivity increased hospitalization rates across all age categories.
Even after adjusting for test performance, our estimates derived from the BED EIA were substantially higher (~80%) than retrospective cohort estimation.
The test duration is 20 min, but to adjust for test adaptation, only data from the last 15 min are analysed.
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