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Comparison of statistical approaches for analyzing incomplete longitudinal patient-reported outcome data in randomized controlled trials
PURPOSE: Missing data are a potential source of bias in the results of RCTs, but are often unavoidable in clinical research, particularly in patient-reported outcome measures (PROMs). Maximum likelihood (ML), multiple imputation (MI), and inverse probability weighting (IPW) can be used to handle inc...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Dove Medical Press
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6016604/ https://www.ncbi.nlm.nih.gov/pubmed/29950913 http://dx.doi.org/10.2147/PROM.S147790 |