Sentence examples for multiple comparison data from inspiring English sources

Individual comparisons were made by one-way ANOVA for multiple comparison data, and p values less than 0.05 were considered to be statistically different and p values less than 0.01 to be significantly different.

Data are expressed as mean±s.e.m‥ Unpaired Student's t-tests and one-way ANOVA were performed with a Newman-Keuls post-test for multiple comparison data sets when required.

For multiple comparisons, data were analyzed by ANOVA, and group comparisons using Student's paired or unpaired t test, with correction of the P values for multiple comparisons by the Bonferroni method.

To address multiple comparisons, data were stratified into a split sample.

For multiple comparisons, data were analyzed by one-way ANOVA followed by Tukey's multiple comparison test.

All associations (except the association with knee pain) remained significant after adjustment for multiple comparisons (data not shown).

To further prevent false positive findings due to performing multiple comparisons, data were corrected for multiple testing using the Bonferroni method.

For multiple comparisons, data were analyzed by two-way ANOVA followed by one-way ANOVA with Tukey's test post hoc.

For multiple comparisons, data were subjected to analysis of variance (ANOVA), and differences between the means were compared by Tukey (one-way) or Bonferroni (two-way) post-tests.

We no longer show the ranked averages of the multiple comparisons data, as further review of that MATLAB function found the corresponding plot to be enigmatic, as the reviewer pointed out.

Notably, in the amygdala, DOPAC and DA levels, as well as HVA/DA ratios, were significantly decreased and increased, respectively, in AD + D + P patients compared to AD + D-P patients, although significance was not maintained following a Bonferroni correction for multiple comparisons (data not shown; for DOPAC and DA: P = 0.032 and 0.014; for HVA/DA: P = 0.016).