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We performed multiple comparisons, which increases the chance that some findings are false positives.
Finally, we did not correct for multiple comparisons, which particularly limited interpretation of findings with p-values between 0.05 and 0.01.
An alternative way to interpret such a metric is based on the multiple comparisons which the rankings S and V allow.
Our analysis also included multiple comparisons, which increases the probability of false discoveries.
One drawback to using the LISA is the issue of multiple comparisons which increases type I error rates.
A downside to the use of the LISA in spatial analyses is the issue of multiple comparisons, which increase type I errors.
Similar(18)
In relation to the number of associations investigated (36 in total), we decided not to adjust for multiple comparison, which is in line with some recommendations [ 58].
Tukey's method was used to adjust for multiple pairwise comparisons, which were based on the differences in least squares means.
Additionally, we performed multiple statistical comparisons, which increased the probability for type 2 errors (i.e. false positives).
The single predictive biomarker hypothesis was required to avoid multiple statistical comparisons, which could contribute to false-positives and result in the inability to reproduce results in subsequent studies (Beckman et al., 2011, Simon, 2005).
Furthermore, false positives may result from the multiple comparisons problem, which is partially corrected by the Holm-Bonferroni method.
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