Experiments were carried out in triplicates, and statistical analyses were performed using Student's two tailed test in conjunction with Scheffe's test for multiple comparison statistics considering p < 0.05, P < 0.01, and P < 0.001 as statistically significant, very significant, and extremely significant values, respectively, whereas P > 0.05 is treated as statistically insignificant value.
The alkylphenol xenoestrogens were not quite as effective as E2 in eliciting a cell response; the lowest concentration that caused a significant increase as estimated by multiple comparison statistics was 100 fM for EP and PP, 10 pM for BPA, and 1 nM for OP and NP.
For pair-wise comparisons, the Audic and Claverie test, Fisher exact test and chi-square tests were used and in multiple comparisons R- statistics test, Greller and Tobin test and chi-square tests were used [ 73, 74].
Data were analyzed by analysis of variances, followed by one-way ANOVA (Newman-Keuls multiple comparison tests) using statistics software (Prism 4.0, GraphPad Software inc).
In case of multiple mean comparisons, the data were analyzed by analysis of variances (ANOVA), followed by Newman-Keuls (for one-way ANOVA) or Bonferroni (for two-way ANOVA) multiple comparison test using statistics software (Prism 4.0, Graphpad Software , Inc.
Differences among groups were analyzed using Dunnett's or Steel multiple comparison test (Excel Statistics 2006, Social Survey Research Information Co., Ltd., Tokyo, Japan).
The Mantel test capability of GenAlEx has been extended to allow multiple comparison among pairwise population statistics such as FST, F′ST, G′ST, G′′ST, Dest and SH UA.
In order to account for multiple comparisons, the maximal statistics approach was used whereby the spatial map values for the real principal components were compared to the maximal (either positively or negatively) value across a whole random map on each permutation.
Significant differences in the mean values were calculated by one-way analysis of variance (ANOVA) followed by post hoc Tukey multiple comparison test using IBM® SPSS® Statistics 20 (United States) for Windows and considered statistically significant at p < 0.05.
PCR statistics were done by a Kruskal Wallis one-way ANOVA followed by Dunn's multiple comparison test for post-hoc analysis, CORT statistics analyzed by a repeated two-way ANOVA.
For mRNA data, PCR statistics were done by a Kruskal Wallis one-way ANOVA followed by Dunn's multiple comparison test for post-hoc analysis and statistics for protein counts were a student's t-test.
