U is for unease: reasons for mistrusting overlap measures for reporting clinical trials

Senn, S. (2011) U is for unease: reasons for mistrusting overlap measures for reporting clinical trials. Statistics in Biopharmaceutical Research, 3(2), pp. 302-309. (doi: 10.1198/sbr.2010.10024)

Full text not currently available from Enlighten.

Abstract

In recent years a number of authors have promoted approaches to measuring the results of clinical trials that depend on the degree of overlap between the distribution of results from the treatment and the control group. In their enthusiasm for such measures, however, many have overlooked a particular problem, namely that while they seem to overcome a certain arbitrary element in measuring the shift between groups in a given trial, they still depend very strongly on the distribution of the results from trial to trial.

Item Type:Articles
Keywords:Cohen’s d; Effect size; Mann–Whitney; Proportion of similar responses; Sigma divided measure.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Senn, Professor Stephen
Authors: Senn, S.
Subjects:Q Science > QA Mathematics
H Social Sciences > HA Statistics
College/School:College of Science and Engineering > School of Mathematics and Statistics > Statistics
Journal Name:Statistics in Biopharmaceutical Research
ISSN (Online):1946-6315
Published Online:01 May 2011

University Staff: Request a correction | Enlighten Editors: Update this record