Reference‐based multiple imputation for missing data sensitivity analyses in trial‐based cost‐effectiveness analysis

Missing data are a common issue in cost‐effectiveness analysis (CEA) alongside randomised trials and are often addressed assuming the data are ‘missing at random’. However, this assumption is often questionable, and sensitivity analyses are required to assess the implications of departures from miss...

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Detalles Bibliográficos
Autores principales: Leurent, Baptiste, Gomes, Manuel, Cro, Suzie, Wiles, Nicola, Carpenter, James R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7004051/
https://www.ncbi.nlm.nih.gov/pubmed/31845455
http://dx.doi.org/10.1002/hec.3963

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7004051/
https://www.ncbi.nlm.nih.gov/pubmed/31845455
http://dx.doi.org/10.1002/hec.3963

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