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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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Библиографические подробности
Главные авторы: SCHARFSTEIN, DANIEL O., DANIELS, MICHAEL J., ROBINS, JAMES M.
Формат: Artigo
Язык:Inglês
Опубликовано: 2003
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Online-ссылка: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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