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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2020
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| Materias: | |
| 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 |