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Sharpening Bounds on Principal Effects with Covariates
Estimation of treatment effects in randomized studies is often hampered by possible selection bias induced by conditioning on or adjusting for a variable measured post-randomization. One approach to obviate such selection bias is to consider inference about treatment effects within principal strata,...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2013
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4086842/ https://ncbi.nlm.nih.gov/pubmed/24245800 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.12103 |
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