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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
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| Materias: | |
| 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 |