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. Author manuscript; available in PMC: 2024 Sep 1.
Published in final edited form as: Thromb Res. 2023 Jul 20;229:198–208. doi: 10.1016/j.thromres.2023.07.011

Table 4:

Model performance for prediction of functional assay positivity

Antibody Model Full Model
Cohort Youden's J AIC Youden's J AIC LR Test P
value
McMaster 0.8989 632.602 0.9063 631.807 0.094
Greifswald 0.6761 2937.655 0.6753 2934.655 0.03288
Tours 0.8323 284.53 0.824 279.94 0.011

Comparison of models for prediction of functional assay positivity. Antibody model utilizes anti-PF4/heparin optical density values. Full model includes all variable which remained after stepwise regression in each respective cohort. Youden’s J statistic (sensitivity + specificity −1) measures model performance, with higher values indicating better performance (range:0-1). AIC: Akaike information criterion - smaller values indicate better fit models. LR: likelihood ratio test - statistic tested if full prediction model is statistically significantly a better fitting model.