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A Recipe for inferference: Start with Causal Inference. Add Interference. Mix Well with R
In causal inference, interference occurs when the treatment of one subject affects the outcome of other subjects. Interference can distort research conclusions about causal effects when not accounted for properly. In the absence of interference, inverse probability weighted (IPW) estimators are comm...
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| Publicado no: | J Stat Softw |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5800794/ https://ncbi.nlm.nih.gov/pubmed/29430216 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.18637/jss.v082.i02 |
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