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Firth Regression

Definition
AI-generated

Firth's penalized logistic regression adds a small bias-correction term to the log-likelihood to reduce separation bias when data are sparse, unbalanced, or nearly separable—common for rare variants or skewed case-control ratios.

Topics
GWAS
Related
Case-Control Study Minor Allele Count (MAC) Odds Ratio (OR)

Why it matters in GWAS

Standard logistic ML estimates can be infinite or unstable at low counts; Firth regression (e.g. in REGENIE, PENGLR) stabilizes single-variant tests in those regimes.

Example usage

"The primary methods include Firth Regression as part of the association and model-comparison workflow."

Case-Control Study Minor Allele Count (MAC) Odds Ratio (OR)
Related-term network

Click any node to open that term page.

Node order. The current term is first. Next come every page linked from Related terms, in the same top-to-bottom order as that list. Then new terms appear in two-hop layers: for each of those direct neighbors (in that same order), their related terms are appended if not already listed. A third pass does the same for two-hop nodes. The walk stops when a fixed maximum number of nodes is reached.

References

← FinnGen Fisher information →

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