Publikationsdatum:
2016-07-06
Beschreibung:
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, regimes, and sampling methods) to obtain valid answers to...
Schlagwort(e):
Sackler Colloquium on Drawing Causal Inference from Big Data
Print ISSN:
0027-8424
Digitale ISSN:
1091-6490
Thema:
Biologie
,
Medizin
,
Allgemeine Naturwissenschaft
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