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Causal inference and the data-fusion problem

We review concepts, principles, and tools that unify current approaches to causal analysis and attend to new challenges presented by big data. In particular, we address the problem of data fusion—piecing together multiple datasets collected under heterogeneous conditions (i.e., different populations...

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Veröffentlicht in:Proc Natl Acad Sci U S A
Hauptverfasser: Bareinboim, Elias, Pearl, Judea
Format: Artigo
Sprache:Inglês
Veröffentlicht: National Academy of Sciences 2016
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Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4941504/
https://ncbi.nlm.nih.gov/pubmed/27382148
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1510507113
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