Supplementary Table 1. Top 5 candidate models ranked by their Akaike Information Criterion values

Supplementary Table 1. Top five candidate logistic regression models ranked according to their Akaike Information Criterion (AIC) values.The table summarizes model predictors, odds ratios (OR), 95% confidence intervals (CI), and p-values for the association between femoral morphology parameters and the studied outcome. Predictors include head–neck offset ratio (Dunn projection), femoral head and neck diameters (anteroposterior and lateral projections), and alpha angles (anteroposterior and lateral projections). Lower AIC values indicate better model fit.Notes: OR – odds ratio; CI – confidence interval; AIC – Akaike Information Criterion. This table accompanies the main article as supplementary material and presents the comparative performance of alternative regression models used in the analysis.