Skip to main content
. Author manuscript; available in PMC: 2024 Nov 1.
Published in final edited form as: Speech Commun. 2023 Sep 27;155:102990. doi: 10.1016/j.specom.2023.102990

Table 6.

Performance of models (N=1273, cases=634, controls=639)

WAIC Weight AUC Sens Spec NPV PPV F1
Animal Fluency
SD timings 1586.29 0.955 0.625 0.631 0.585 0.656 0.558 0.592
SD timings, ASR 1592.42 0.045 0.621 0.644 0.571 0.659 0.555 0.596
Letter F Fluency
Mayr scores 1757.24 0.991 0.591 0.552 0.579 0.566 0.565 0.559
Mayr scores, ASR 1766.71 0.009 0.580 0.539 0.606 0.570 0.576 0.557
Combined Model
SD timings + Mayr 1584.08 0.931 0.632 0.599 0.637 0.656 0.578 0.588
SD timings + Mayr, ASR 1589.29 0.069 0.630 0.606 0.621 0.655 0.571 0.588

ASR = scores estimated from transcriptions derived directly from automatic speech recognition; AUC = area under the ROC curve; F1 = F1 measure (harmonic mean of PPV and Sens); NPV = negative predictive value; PPV = positive predictive value; SD = slope difference; Sens = sensitivity; Spec = specificity; WAIC = Widely applicable information criterion.