Analyses of ‘change scores’ do not estimate causal effects in observational data

BACKGROUND: In longitudinal data, it is common to create ‘change scores’ by subtracting measurements taken at baseline from those taken at follow-up, and then to analyse the resulting ‘change’ as the outcome variable. In observational data, this approach can produce misleading causal-effect estimate...

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Detalles Bibliográficos
Autores principales: Tennant, Peter W G, Arnold, Kellyn F, Ellison, George T H, Gilthorpe, Mark S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Methods
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9557845/
https://www.ncbi.nlm.nih.gov/pubmed/34100077
http://dx.doi.org/10.1093/ije/dyab050

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9557845/
https://www.ncbi.nlm.nih.gov/pubmed/34100077
http://dx.doi.org/10.1093/ije/dyab050

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