Interval-cohort designs and bias in the estimation of per-protocol effects: a simulation study

BACKGROUND: Randomized trials are considered the gold standard for making inferences about the causal effects of treatments. However, when protocol deviations occur, the baseline randomization of the trial is no longer sufficient to ensure unbiased estimation of the per-protocol effect: post-randomi...

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Detalles Bibliográficos
Autores principales: Young, Jessica G., Vatsa, Rajet, Murray, Eleanor J., Hernán, Miguel A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6729016/
https://www.ncbi.nlm.nih.gov/pubmed/31488202
http://dx.doi.org/10.1186/s13063-019-3577-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6729016/
https://www.ncbi.nlm.nih.gov/pubmed/31488202
http://dx.doi.org/10.1186/s13063-019-3577-z

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