Results did not survive family-wise error correction for multiple comparisons, and hence were assessed uncorrected at P < 0.001.
Inter-group comparisons of component volumes and end-diastolic KE were made using two-sample t-tests, Bonferroni corrected for multiple comparisons, and hence a P-value <0.0125 was considered significant.
In order to resolve the issue of multiple hypothesis testing, a Bonferroni correction for multiple comparisons was undertaken; hence p-values < 0.001 were considered statistically significant while values < 0.05 were identified as trends.
We performed a number of statistical analyses, and hence multiple comparisons must be considered.
We did not apply correction for multiple comparisons to the growth data, and hence, there is a possibility that some of the results may have been chance events.
Neither homoscedasticity nor normality nor balanced group sizes are assumed, thus allowing for multiple comparisons in balanced and unbalanced models with arbitrary error distribution and hence arbitrary data distribution and variance structure.
Hence, no CIs or corrections for multiple comparisons were made.
Hence, an examination of R1 at the locus level yielded no significant results after correction for multiple comparisons.
Dunn, O. J. Multiple comparisons among means.
