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Identification and Estimation of Causal Mechanisms in Clustered Encouragement Designs: Disentangling Bed Nets using Bayesian Principal Stratification

Exploration of causal mechanisms is often important for researchers and policymakers to understand how an intervention works and how it can be improved. This task can be crucial in clustered encouragement designs (CED). Encouragement design studies arise frequently when the treatment cannot be enfor...

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Detalles Bibliográficos
Publicado en:J Am Stat Assoc
Main Authors: Forastiere, Laura, Mealli, Fabrizia, VanderWeele, Tyler J.
Formato: Artigo
Idioma:Inglês
Publicado: 2016
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC5166715/
https://ncbi.nlm.nih.gov/pubmed/28008210
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2015.1125788
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