Assess graduate-level ability to analyze and synthesize biomechanical, training-load, and psychosocial determinants of stress fracture risk in endurance runners using multivariate modeling; tasks include selecting appropriate predictor variables (e.g., impact loading, ACWR, sleep/stress measures), choosing and justifying statistical/machine-learning models, addressing collinearity and missing data, specifying interaction and confounding structures, evaluating discrimination and calibration, and translating model outputs into actionable risk stratification and intervention recommendations.