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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Detalles Bibliográficos
Autores principales: Rombach, Ines, Jenkinson, Crispin, Gray, Alastair M, Murray, David W, Rivero-Arias, Oliver
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2018
Materias:
Methodology
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

Internet

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

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