Construct · 1 fields · 1 citations

Firth logistic regression: a standalone construct

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Statistics

a penalized maximum likelihood that removes first-order bias of estimates and gives finite estimates even under separation in logistic regression.

In statistics, Firth logistic regression refers to a penalized maximum likelihood that removes first-order bias of estimates and gives finite estimates even under separation in logistic regression. This meaning comes from Firth (1993) in Biometrika.[1]

Unit
Recovery means
Measured by

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Nearby constructs

bias6 fields · 8 citationsjingle · one name, six constructs likelihood3 fields · 3 citationsjingle · one word, three constructs logistic regression1 fields · 1 citationsanchor · a standalone construct

References

Firth, D. (1993). Bias reduction of maximum likelihood estimates. Biometrika, 80(1), 27-38. https://doi.org/10.1093/biomet/80.1.27

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