Finally, as we did not correct our interaction analyses for multiple testing, these findings should thus be interpreted with caution, as they are in need of replication.
Although Scheffé post-hoc tests were used to minimise the effects of multiple testing, case findings may have occurred.
Another issue that should be considered is that by not adjusting the significance level for multiple testing the findings might have capitalized by chance.
However, due to the very low number of co-infected infants and multiple testing, these findings must be interpreted with care.
Because of multiple testing, this finding should be interpreted with caution.
Since we did not adjust for multiple testing, our finding should be confirmed in other cohorts.
Given the marginal P value, which was not significant after correction for multiple testing, this finding was not considered a relevant difference.
As we conducted 108 separate analyses to investigate the associations between 27 autoimmune conditions and 4 myeloid malignancies, we considered the impact of multiple testing on our findings.
Set mmHG score π = mi n 1 ≤ n 1 ≤ N mi n 1 ≤ n 2 ≤ N HGT N, n 1, n 2, b π n 1, n 2 where HGT is the tail distribution of an hypergeometric random variable: HGT N, n 1, n 2, b = ∑ i = b min n 1, n 2 n 1 i N - n 1 n 2 - i N n 2 The mmHG score cannot be considered as a significance measure, due to the multiple testing involved in finding n1 and n2.
They write in their paper that "misreporting of influenza is likely to be considerable". They also note in the last sentence of their abstract that "The results may be due to multiple testing; the few positive findings are potential chance findings". Results from other groups on the outcomes of fever or influenza infection during pregnancy are mixed.
