Data Missing Not at Random in Mobile Health Research: Assessment of the Problem and a Case for Sensitivity Analyses

BACKGROUND: Missing data are common in mobile health (mHealth) research. There has been little systematic investigation of how missingness is handled statistically in mHealth randomized controlled trials (RCTs). Although some missing data patterns (ie, missing at random [MAR]) may be adequately addr...

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Detalles Bibliográficos
Autores principales: Goldberg, Simon B, Bolt, Daniel M, Davidson, Richard J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8277392/
https://www.ncbi.nlm.nih.gov/pubmed/34128810
http://dx.doi.org/10.2196/26749

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8277392/
https://www.ncbi.nlm.nih.gov/pubmed/34128810
http://dx.doi.org/10.2196/26749

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