Special Issue Paper
Article first published online: 24 JUL 2012
Copyright © 2012 John Wiley & Sons, Ltd.
Statistics in Medicine
Special Issue: Papers from the Joint EMA, ISBS and DR-IBS International Symposium on Biopharmaceutical Statistics: Bridging Drug Development from Research to Marketing
Volume 32, Issue 10, pages 1754–1762, 10 May 2013
How to Cite
Gutjahr, G. and Brannath, W. (2013), Multiple tests of cost-effectiveness angles. Statist. Med., 32: 1754–1762. doi: 10.1002/sim.5427
- Issue published online: 17 APR 2013
- Article first published online: 24 JUL 2012
- Manuscript Accepted: 1 APR 2012
- Manuscript Revised: 16 JAN 2012
- Manuscript Received: 11 MAY 2011
- cost-effectiveness analysis;
- directional statistics;
- multiple testing
Cost-effectiveness angles are an attractive measure of performance when comparing effects and costs of health-care 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 cost-effectiveness 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 cost-effectiveness angles that guarantees strong family-wise error rate control. The idea is to replace the test of m cost-effectiveness angles as a union-intersection test of 3m linear hypotheses. Considering the correlation structure of the individual test statistics for the linear hypotheses leads to a maximum-type test for the intersection hypothesis. Inverting these test decisions then gives simultaneous CIs of cost-effectiveness angles with the appropriate coverage probabilities. Copyright © 2012 John Wiley & Sons, Ltd.