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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...
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| Publicado no: | Patient Relat Outcome Meas |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Dove Medical Press
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6016604/ https://ncbi.nlm.nih.gov/pubmed/29950913 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2147/PROM.S147790 |
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