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Table 3 Score set evaluation statistics

From: Decision tree analysis of genetic risk for clinically heterogeneous Alzheimer’s disease

Score AUC ± SE P-val vs. A P-val vs. Prev. ΔAUC
A 0.69 ± 0.04 N/A N/A N/A
B 0.75 ± 0.04 0.01 0.01 0.056
C 0.79 ± 0.03 0.0018 0.02 0.038
D 0.81 ± 0.03 0.00010 0.18 0.021
E 0.83 ± 0.03 <0.00001 0.13 0.023
F 0.84 ± 0.03 <0.00001 0.64 0.005
G 0.85 ± 0.03 <0.00001 0.36 0.011
H 0.85 ± 0.03 <0.00001 0.76 0.003
I 0.86 ± 0.03 <0.00001 0.35 0.008
J 0.86 ± 0.03 <0.00001 0.42 0.006
K 0.87 ± 0.03 <0.00001 0.27 0.010
L 0.86 ± 0.03 <0.00001 0.11 −0.011
M 0.87 ± 0.03 <0.00001 0.35 0.005
N 0.86 ± 0.03 <0.00001 0.55 −0.004
O 0.87 ± 0.03 <0.00001 0.57 0.004
P 0.87 ± 0.03 <0.00001 0.76 −0.001
Q 0.88 ± 0.03 <0.00001 0.02 0.007
R 0.87 ± 0.03 <0.00001 0.90 −0.001
S 0.87 ± 0.03 <0.00001 0.82 −0.001
T 0.88 ± 0.03 <0.00001 0.67 0.002
U 0.87 ± 0.03 <0.00001 0.88 −0.001
V 0.88 ± 0.03 <0.00001 0.30 0.005
W 0.88 ± 0.03 <0.00001 0.27 0.005
X 0.89 ± 0.03 <0.00001 0.89 0.001
Y 0.89 ± 0.03 <0.00001 0.90 0.001
Z 0.89 ± 0.02 <0.00001 0.25 0.007
  1. Each score set was evaluated for AUC of the ROC curve to assess predictive ability. Score Q (in bold) was determined the best performing scoring set given the following two sets resulted in consecutively lower AUC values. This resulted in a final score set, Q that had a statistically significant better AUC than just APOE (set A) alone, P < 0.00001.