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We corrected p-values for multiple tests as previously.
Moreover, the knockin animals showed changes in alcohol intake and preference in multiple tests as well as increased alcohol-induced hypnosis.
A p value <0.05 was considered to indicate an important modifier for both multiplicative and additive interaction assessments, despite the multiple tests as interaction tests tend to be underpowered [ 22].
The objectives of this systematic review are to: 1) identify and categorize studies that have used single or multiple tests as a gold standard for assessing accuracy of other tests, and 2) given the 'gold standard' used, determine the accuracy of these other tests for diagnosing childhood bacterial pneumonia.
P-values were adjusted for multiple tests as described in the previous section.
Significant differences in paired species comparisons were determined after applying corrections for multiple tests, as above.
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Statistical significance between experimental groups was determined using the unpaired t test or ANOVA with Newman-Keuls multiple test, as appropriate.
Except where stated otherwise, statistical differences were assessed using two-tailed one-sample or two-sample t tests, with correction for multiple testing as indicated.
We did not adjust for multiple testing as, with the exception of adherence, we were not testing specific hypotheses about the impact of either form of prescribing, and the issue of multiple testing is less crucial in exploratory analyses.
After implementing the highly stringent Bonferroni correction for multiple testing, as much as seven QTL interactions remained significant at the 1% bi-dimensional genome-wide level, whereas 11 were significant at the 5% genome-wide level.
Next, a wide range of analysis parameters can be adjusted, such as normalization method (SWAN, Functional, Quantile, Noob or Illumina), quality control filtering based on detection p values, failed sample threshold, Q-value cutoff for multiple testing as well as genomic regions for testing.
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