multiple tests of costeffectiveness angles costeffectiveness angles are an attractive measure of performance when comparing effects and costs of healthcare therapies because they have a clear interpretation and are well suited for statistical inference in clinical trials a common setup is the comparison of multiple new therapies with a single control if costeffectiveness angles are calculated for each comparison multiplicity issues should be taken into account when quantifying uncertainty of the point estimates therefore this paper proposes a parametric test for multiple costeffectiveness angles that guarantees strong familywise error rate control the idea is to replace the test of m costeffectiveness angles as a unionintersection test of 3m linear hypotheses considering the correlation structure of the individual test statistics for the linear hypotheses leads to a maximumtype test for the intersection hypothesis inverting these test decisions then gives simultaneous cis of costeffectiveness angles with the appropriate coverage probabilities