We will evaluate the ability of selected novel biomarkers to predict recurrent TB using the following metrics:
Area Under the Curve (AUC): Measures the overall discriminatory ability of the biomarkers to distinguish between individuals who will and will not experience recurrent TB.
Sensitivity and Specificity: Sensitivity indicates how accurately the biomarkers identify individuals who will develop recurrent TB, while specificity reflects how well they identify those who will not.
Positive Predictive Value (PPV) and Negative Predictive Value (NPV): PPV represents the proportion of individuals with a positive biomarker result who actually develop recurrent TB, while NPV reflects the proportion with a negative result who remain recurrence-free.
Kappa Statistic: Assesses the agreement between predicted outcomes based on the biomarkers and the actual observed outcomes, accounting for agreement occurring by chance.