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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2021
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| Materias: | |
| 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 |