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Causal Inference for Community-based Multi-layered Intervention Study
Estimating causal treatment effect for Randomized Controlled Trials (RCTs) under post-treatment confounding, i.e., noncompliance and informative dropouts, is becoming an important problem in intervention/prevention studies when the treatment exposures are not completely controlled. When confounding...
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| Main Authors: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4156555/ https://ncbi.nlm.nih.gov/pubmed/24817513 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.6199 |
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