Construct · 1 fields · 1 citations

spurious correlation: a standalone construct

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Data science

a correlation between two variables that does not reflect a causal link between them but arises from a common cause or other confounding.

In data science, spurious correlation refers to a correlation between two variables that does not reflect a causal link between them but arises from a common cause or other confounding. This meaning comes from Simon (1954) in Journal of the American Statistical Association.[1]

Unit
Recovery means
Measured by

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Nearby constructs

association4 fields · 4 citationsjingle · one word, four constructs cause3 fields · 7 citationsjingle · one word, three constructs correlation4 fields · 4 citationsjingle · one word, four constructs

References

Simon, H. A. (1954). Spurious Correlation: A Causal Interpretation. Journal of the American Statistical Association, 49(267), 467. https://doi.org/10.2307/2281124

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