Differences between experimental groups were analyzed by One way ANOVA (Bonferroni multiple group analysis test) for SB formation, clonogenicity and cisplatin sensitivity study using GraphPad PRISM software, version 3.0 (GraphPad Prism).
Bonferroni adjusted group differences (3 comparisons): * different from European-Dutch (p < 0.05).
Data were compared by Student's t test or one-way ANOVA followed by either Bonferroni (<5 groups) or Tukey Kramer (≥5 groups) post hoc tests.
Analysis of variance (ANOVA) was used for comparisons of multiple groups of values (in both approaches of neurodegeneration analysis), followed by Bonferroni multiple-group comparison tests.
For comparison of more than 2 groups, statistical significance was determined using a one-way ANOVA followed by a Bonferroni multiple-group comparison test.
P = 0.008 after Bonferroni correction) Groups: triptans (exclusively one, or more types of triptans), NSAIDs (exclusively one, or more types of NSAIDs), mixtures (consumption of drugs containing indometacin, caffeine and sedatives) BMI body mass index, DDI daily drug intake, MOH medication-overuse headache, LDQ Leed's drugs questionnaire, SBP systolic blood pressure, DBP dyastolic blood pressure.
Data were analysed using either Student's unpaired t-test or one-way analysis of variance (Graphpad Prism 5.0. Software, Graphpad Software Inc., La Jolla, CA, USA), followed by Bonferroni (for grouped) and Newman Keuls (for all other analyses) post hoc tests.
Results from all assays were analysed using either one-way ANOVA with post-hoc pairwise analysis (Bonferroni) for multiple group comparisons, or by paired t-test for two group comparisons, as noted.
When the ANOVA showed that there were significant differences between the groups, Bonferroni's test was used for between-group comparisons.
Discrimination occurred in control mice, but was impaired by VGLUT1-targeting shRNA (***P<0.001 vs the familiar object in the same treatment group; Bonferroni's multiple comparison post hoc following two-way repeated measures ANOVA); n=8 in each case.
