Baseline-adjusted proportional odds models for the quantification of treatment effects in trials with ordinal sum score outcomes

Baseline-adjusted proportional odds models for the quantification of treatment effects in trials with ordinal sum score outcomes

Abstract Background Sum scores of ordinal outcomes are common in randomized clinical trials. The approaches routinely employed for assessing treatment effects, such as t-tests or Wilcoxon tests, are not particularly powerful in detecting changes in relevant parameters or lack the ability to incorpor...

Full description

Bibliographic Details
Main Authors: Muriel Buri, Armin Curt, John Steeves, Torsten Hothorn
Format: Article
Language:English
Published: BMC 2020-05-01
Series:BMC Medical Research Methodology
Subjects:
Transformation model
Distribution regression
Ordinal scores
Odds ratio
Spinal cord
EMSCI
Online Access:http://link.springer.com/article/10.1186/s12874-020-00984-2

Internet

http://link.springer.com/article/10.1186/s12874-020-00984-2

Similar Items