We set this nominal experiment-wise level of significance, α, to 5% and employed the α-spending function α t = αt [10], where t and α t denote the proportion of accumulated information and the significance level to which the realised P value is to be compared with at a particular analysis time point, respectively.
The cluster-level threshold of P < 0.01 was therefore not applied to the whole brain (which would be lenient), but rather to the data previously thresholded at a voxel-wise level of P < 0.05.
An association of a given amplicon with bolting rate, survival rate, or survival rate with bolting rate as cofactor was claimed at an experiment wise alpha level of 0.05 (Bonferroni correction).
++Significant effect by permutation test at an experimental-wise significance level of 5% +Significant effect by permutation test at an experimental-wise significance level of 8% Power of the analysis considering an experimental-wise significance level of either 5% (for Milk, Fat and Prot) or 8% (for UD and SCS).
It should be noted that the experiment-wise α level of 0.05 is used in the above PPV analysis.
This exceeds the threshold levels obtained by calculating family residual effects, which were 1.19 and 1.39, and the 95% experiment-wise threshold level of 2.79 and 2.60 in G8 and G10 data sets, respectively, as generated by permutations.
For all comparisons a family-wise significance level of P < 0.05 was used.
This allows for a family-wise significance level of 0.05, while maintaining good power.
Results were assessed at a family-wise corrected level of α = 0.05.
An experimental-wise significant level of 0.05 was designated for candidate interval selection, putative QTL detection, and QTL effect.
A permutation test with 5000 permutations indicated that a logarithm of the odds (LOD) threshold of 2.91 in this population yielded an experiment-wise significance level of 0.05.
