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Incorporating prior beliefs about selection bias into the analysis of randomized trials with missing outcomes
In randomized studies with missing outcomes, non-identifiable assumptions are required to hold for valid data analysis. As a result, statisticians have been advocating the use of sensitivity analysis to evaluate the effect of varying asssumptions on study conclusions. While this approach may be usef...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2003
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2748253/ https://ncbi.nlm.nih.gov/pubmed/14557107 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biostatistics/4.4.495 |
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