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Fisher's least significant difference (LSD) was used to evaluate significance in longitudinal data.
The Mann-Whitney U-test was employed to evaluate significance between two unpaired groups when the Kruskal-Wallis test showed a significant difference between the four groups.
This greatly speeds up the permutation procedure, as SNPs that are not significant will drop out quite quickly, making it possible to properly evaluate significance for the handful of SNPs that require millions of permutations.
Fisher's exact test was carried out to evaluate significance in contingency tables.
Plackett Burman statistical design was used to evaluate significance of variables.
To evaluate significance, the impact of NAPL entrapment on the conservative-tracer breakthrough curves was compared to simulated breakthrough curve variability for different realizations of the heterogeneous distribution.
Minitab software was used to analyze the result of experiment and general linear model analysis of variance (GLMANOVA) was used to evaluate significance of each factor.
A statistical t student test was performed to evaluate significance of differing DNA source used.
The log-rank test was used to evaluate significance of observed differences.
The Fisher's exact test was used to evaluate significance when analysing motifs and parasite expressing specific motifs identified.
This probe set was used to evaluate significance as well as intensity of each miRNA mature form.
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