Combining multiple imputation and bootstrap in the analysis of cost‐effectiveness trial data

In healthcare cost‐effectiveness analysis, probability distributions are typically skewed and missing data are frequent. Bootstrap and multiple imputation are well‐established resampling methods for handling skewed and missing data. However, it is not clear how these techniques should be combined. T...

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Detalles Bibliográficos
Autores principales: Brand, Jaap, van Buuren, Stef, le Cessie, Saskia, van den Hout, Wilbert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6585698/
https://www.ncbi.nlm.nih.gov/pubmed/30207407
http://dx.doi.org/10.1002/sim.7956

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6585698/
https://www.ncbi.nlm.nih.gov/pubmed/30207407
http://dx.doi.org/10.1002/sim.7956

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