“…In laboratory analysis, statistical significance between a negative control group and chemical treatment groups except for the positive control group was analyzed with a one-way analysis of variance (ANOVA) using log-transformed values (3 labs; Lab B: one-sided Simple meanapproach Significant 18 3 3 24 Significant in either statistic 0 5 3 8 Non-significant 2 4 47 53 Number of data 20 12 53 85 Significant: statistically significant in Dunnett's and linear trend test, non-significant: no statistically significant in both statistical analysis methods, significant in either statistic: statistically significant in either but not both of the two statistical analysis methods. and p < 0.03 [4], Lab D: p < 0.05 [6], Lab G: p < 0.001 [9]) followed by a multiple-comparison such as Dunnett's test (3 labs; Lab C: p < 0.05 [5], Lab L: two-sided and p < 0.05 [14], Lab M: two-sided and p < 0.05 [15]), a multiple-comparison with Dunnett's test for nonlog-transformation values (5 labs; Lab E: two-sided and p < 0.05 [7], Lab F: two-sided and p<0.05 [8], Lab I: two-sided and p < 0.05 [11], Lab J: p < 0.05 [12], Lab N: two-sided and p < 0.05 [16]), or a post-hoc right one-sided pairwise comparison using log-transformed values (1 lab; Lab K: one-sided and p < 0.05 [9]). One laboratory (Lab H) did not use statistics because the values in all treatment groups were lower than the respective control values [10].…”