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Modeling confounding by half-sibling regression
We describe a method for removing the effect of confounders to reconstruct a latent quantity of interest. The method, referred to as “half-sibling regression,” is inspired by recent work in causal inference using additive noise models. We provide a theoretical justification, discussing both independ...
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| Publicado no: | Proc Natl Acad Sci U S A |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
National Academy of Sciences
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4941423/ https://ncbi.nlm.nih.gov/pubmed/27382154 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1511656113 |
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