The permutation test was also run with a harder cutoff (false discovery rate q<0.05 by the Benjamin Hochberg adjustment for multiple testing) with a similar result (P<0.032).
Of course, an ideal animal model for ASD would mimic all core autistic features (as assessed by multiple tests) in association with some of the secondary ones [23].
aP = 0.036 and bP = 0.003 after correcting P-value for multiple testing with 10,000 permutations by Haploview program.
Interestingly, the commercial inoculum DAOM181602 grouped into the core group of recombining G. intraradices isolates, with evidence supported by multiple tests.
Significance of the time effect in this model was checked by testing β1, t = β1,0 for t∈{+1,+4,+24} and correcting p-values by time point for multiple tests with a BH approach (F D R<0.05).
This multivariate test provides an overall assessment of the observed tendencies in the data and is not affected by the multiple testing problems associated with the standard univariate testing procedures.
P-value cutoffs were determined by Bonferroni multiple test correction with thresholds at 0.05, 0.001 and 10-8.
The effects of treatments on seizures were compared using two-way analysis of variance followed by multiple comparison tests with Bonferroni's correction.
Statistical significance was determined using analysis of variance (ANOVA) followed by multiple comparison tests with Bonferroni adjustment.
