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. 2020 Sep 25;6:26. doi: 10.1038/s41537-020-00115-2

Table 3.

Contributions of ML-predicted versus clinically rated BvA and alogia to cognitive/social functioning, beyond demographics (entered in step 1).

DV: Cognitive functioning DV: Social functioning
R2 F B (se) R2 F B (se)
Symptom of interest: blunted vocal affect (BvA)
Unique contribution of Clin Rat BvA
Step 2: Predicted measure Only 0.08 4.13* −0.53 (0.23) 0.11 4.62* −0.66 (0.31)*
Step 3: Clin Rat measure only 0.07 0.47 −0.35 (0.33) 0.00 0.13 −0.05 (0.15)
Unique contribution of ML BvA
Step 2: Clin Rat measure only 0.07 4.65* −0.18 (0.08)* 0.07 3.15+ −0.18 (0.10)+
Step 3: Predicted measure only 0.02 1.14 −0.35 (0.33) 0.04 1.58 −0.55 (0.44)
Symptom of interest: Alogia
Unique contribution of Clin Rat Alogia
Step 2: Predicted measure only 0.00 0.02 −0.03 (0.018) 0.10* 4.88* −0.46 (0.21)*
Step 3: Clin Rat measure only 0.02 0.90 −0.17 (0.18) 0.01 0.55 −0.18 (0.24)
Unique contribution of ML alogia
Step 2: Clin Rat measure Only 0.01 0.74 −0.13 (0.14) 0.09* 4.11* −0.36 (0.18)
Step 3: Predicted measure Only 0.01 0.18 0.09 (0.22) 0.03 1.32 −0.32 (0.28)

Note: Step 1 demographics R2 = 0.19; Step 1 demographics R2 = 0.01.

ML machine learning, BvA blunted vocal affect, Clin Rat clinical rating, se standard error.

*p < 0.05.