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Large sample randomization inference of causal effects in the presence of interference
Recently, increasing attention has focused on making causal inference when interference is possible. In the presence of interference, treatment may have several types of effects. In this paper, we consider inference about such effects when the population consists of groups of individuals where inter...
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| Hoofdauteurs: | , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2014
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3960089/ https://ncbi.nlm.nih.gov/pubmed/24659836 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2013.844698 |
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