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Data were compared by using multivariate analysis of variance and Scheffé's method.
These parameters were tested using Scheffé's method.
Pair-wise comparisons between subgroups were made using Scheffé's method.
Pairwise comparisons within groups were performed using Scheffé's method.
After analysis of variance, the least significant differences were used for post hoc testing (Scheffé's method).
If a significant difference was found, a post hoc analysis by Scheffé's method was added.
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Pairwise multiple comparison procedures (Scheffé's and Holm-Sidak post-hoc methods for electrophysiology and immunohistochemistry, respectively) were applied to more accurately assess the source of variation between groups.
Similarly, to compare the NF, Neck Fx, and Troch Fx groups for significant differences, one-way ANOVA (post hoc algorithm: Scheffé's test) and an independent samples Kruskal-Wallis method were used for continuous and categorical variables, respectively.
Multiple comparisons between the different methods at each molar ratio according to Scheffé's test revealed that the solvent evaporation technique exhibited the most significant effect on the dissolution enhancement of atorvastatin compared to the other methods at P ≤ 0.05.
Orthogonal block designs for Scheffé's quadratic mixture model in three and four components have been considered by John (Technical Report 8, Center for Statistical Sciences, University of Texas, Austin, TX, 1 17), Czitrom (Comm. Statist. Theory Methods 17 (1988) 105; Comm.
Orthogonal block designs for Scheffé's quadratic model in three and four components have been considered by John (Technical Report 8, Centre for Statistical Sciences, University of Texas, Austin, TX, pp. 1 17), Czitrom (Comm. Statist. Theory Methods 17 (1988) 105; Comm.
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