In a multivariate model (ROC analysis), the area under the curve is 0.705 , explain how this is statistically significant. Images of the predictiv
In a multivariate model (ROC analysis), the area under the curve is 0.705 , explain how this is statistically significant. Images of the predictiv
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In a multivariate model (ROC analysis), the area under the curve is 0.705 , explain how this is statistically significant.
Images of the predictive power graph is attached. Please help explain the results.
![100,0%
80,0%
60,0%
40,0%
20,0%
0,0%
Serum Zonulin Predictive Power A
1,0 2,0 3,0 4,0 5,0 6,0 7,0 8,0 9,0 10,011,012,013,0
Sensitivity
Specificity
Sensitivity
%0
100%
80%-
60%-
40%-
20%
0%+
0%
%20
%40
20%
%60
AUC 0.705 (0.617-0.792).
p=0.000
40%
1 - Specificity
%80
60%
%100
%100
%80
%60
%40
%20
+%0
80% 100%
B
Figure 3. A-The diagrammatic illustration of serum zonulin predictive power in case of sensitivity and specificity. B-The
efficiency of plasma zonulin levels is found statistically significant [area under the curve 0.705 (0.617-0.792)].](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fcc5ed75b-c069-42a1-b0b9-bf2f14e82afc%2Fad92338b-ebf8-4ee8-8e17-538c902ed55e%2F9nt4dcf_processed.png&w=3840&q=75)
Transcribed Image Text:100,0%
80,0%
60,0%
40,0%
20,0%
0,0%
Serum Zonulin Predictive Power A
1,0 2,0 3,0 4,0 5,0 6,0 7,0 8,0 9,0 10,011,012,013,0
Sensitivity
Specificity
Sensitivity
%0
100%
80%-
60%-
40%-
20%
0%+
0%
%20
%40
20%
%60
AUC 0.705 (0.617-0.792).
p=0.000
40%
1 - Specificity
%80
60%
%100
%100
%80
%60
%40
%20
+%0
80% 100%
B
Figure 3. A-The diagrammatic illustration of serum zonulin predictive power in case of sensitivity and specificity. B-The
efficiency of plasma zonulin levels is found statistically significant [area under the curve 0.705 (0.617-0.792)].
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