Sensitivity analyses for data missing at random versus missing not at random using latent growth modelling: a practical guide for randomised controlled trials

BACKGROUND: Missing data are ubiquitous in randomised controlled trials. Although sensitivity analyses for different missing data mechanisms (missing at random vs. missing not at random) are widely recommended, they are rarely conducted in practice. The aim of the present study was to demonstrate se...

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Detalles Bibliográficos
Autores principales: Staudt, Andreas, Freyer-Adam, Jennis, Ittermann, Till, Meyer, Christian, Bischof, Gallus, John, Ulrich, Baumann, Sophie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9508724/
https://www.ncbi.nlm.nih.gov/pubmed/36153489
http://dx.doi.org/10.1186/s12874-022-01727-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9508724/
https://www.ncbi.nlm.nih.gov/pubmed/36153489
http://dx.doi.org/10.1186/s12874-022-01727-1

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