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

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 incorporate base...

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Detalles Bibliográficos
Autores principales: Buri, Muriel, Curt, Armin, Steeves, John, Hothorn, Torsten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7204322/
https://www.ncbi.nlm.nih.gov/pubmed/32375705
http://dx.doi.org/10.1186/s12874-020-00984-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7204322/
https://www.ncbi.nlm.nih.gov/pubmed/32375705
http://dx.doi.org/10.1186/s12874-020-00984-2

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