Firth logistic regression

Firth logistic regression is a statistical method used to improve the accuracy of models predicting yes/no outcomes, especially when data is limited or some outcomes are rare. Traditional logistic regression can produce biased or unreliable results in such cases. Firth’s method adjusts the estimation process to reduce this bias, providing more stable and trustworthy results. Think of it as a refined way to ensure predictions are more accurate when the available data is small or imbalanced, making it valuable in medical research and other fields with limited sample sizes.