ROC curves showing MoCA©
superiority to MMSE in distinguishing Normal Controls from
MCI.
«The areas under ROC curves were compared with the method
of Delong,Delong and ClarkePearson (1988) for correlated
curves. The difference was statistically significant
x2(1,N=182)=11,66, p<0.001.»
Area Under the Curve 
Test Result Variable(s) : MoCA 
Lower BoundUpper BoundLower
Bound 
Area 
Std. Error (a)

Asymptotic Sig. (b)

Asymptotic 95%
Interval 
Upper Bound 
Lower Bound 
.921 
.020 
.000 
.882 
.960 
The test
result variable(s): MOCA new has at least one tie between the
positive actual state group and the negative actual state group.
Statistics may be biased.

(a) Under the
nonparametric assumption. (b) Null hypothesis: true area =
0.5 
Area Under the Curve 
Test Result Variable(s) : MMSE 
Lower BoundUpper BoundLower
Bound 
Area

Std. Error (a)

Asymptotic Sig. (b)

Asymptotic 95%
Interval 
Upper Bound 
Lower Bound 
.814 
.032 
.000 
.751 
.876 
The test
result variable(s): MMSE_num has at least one tie between the
positive actual state group and the negative actual state group.
Statistics may be biased. 
(a) Under the
nonparametric assumption. (b) Null hypothesis: true area =
0.5 
Nasreddine ZS, Phillips NA, Bédirian
V, Charbonneau S, Whitehead V, Collin I, Cummings JL,
Chertkow H.
The Montreal Cognitive Assessment (MoCA©):
A Brief Screening Tool For Mild Cognitive Impairment. J Am
Geriatr Soc 53:695–699, 2005. 