A general method for handling missing binary outcome data in randomized controlled trials

AIMS: The analysis of randomized controlled trials with incomplete binary outcome data is challenging. We develop a general method for exploring the impact of missing data in such trials, with a focus on abstinence outcomes. DESIGN: We propose a sensitivity analysis where standard analyses, which co...

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Detalles Bibliográficos
Autores principales: Jackson, Dan, White, Ian R, Mason, Dan, Sutton, Stephen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BlackWell Publishing Ltd 2014
Materias:
Methods and Techniques
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4241048/
https://www.ncbi.nlm.nih.gov/pubmed/25171441
http://dx.doi.org/10.1111/add.12721

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4241048/
https://www.ncbi.nlm.nih.gov/pubmed/25171441
http://dx.doi.org/10.1111/add.12721

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