A Guide to Handling Missing Data in Cost-Effectiveness Analysis Conducted Within Randomised Controlled Trials

Missing data are a frequent problem in cost-effectiveness analysis (CEA) within a randomised controlled trial. Inappropriate methods to handle missing data can lead to misleading results and ultimately can affect the decision of whether an intervention is good value for money. This article provides...

Descripción completa

Detalles Bibliográficos
Autores principales: Faria, Rita, Gomes, Manuel, Epstein, David, White, Ian R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2014
Materias:
Practical Application
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4244574/
https://www.ncbi.nlm.nih.gov/pubmed/25069632
http://dx.doi.org/10.1007/s40273-014-0193-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4244574/
https://www.ncbi.nlm.nih.gov/pubmed/25069632
http://dx.doi.org/10.1007/s40273-014-0193-3

Ejemplares similares