In statistical analysis, both conventional techniques (e.g. non-parametric paired-samples and non-paired samples t-test), and more sophisticated methods will be used. The latter include i) life-table methods like Kaplan-Meier and Cox proportional hazards regression, as well as ii) generalized linear models (GEE and panel Poisson) and as a new technique in migraine RCTs, a competing risks regression, to model the natural outcomes of migraine during the intervention. This study (n=100 per study arm) is adequately powered (Type II error 0.80, type I error 0.05) to detect a true difference in attack frequency between 4 attacks/month in the placebo and 2.4 attacks/month in the Acetium arm, i.e., the difference in effect size of 1.6 attacks. Given that the study subjects are selected among patients with 2-8 monthly attacks, there figures seem reasonable estimates for the basis of these power calculations.