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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...
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| Publicado no: | BMC Med Res Methodol |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7204322/ https://ncbi.nlm.nih.gov/pubmed/32375705 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12874-020-00984-2 |
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