Sampleton is a small rural village in rural Brazil that has a population of 5,000 with high rates of heart disease. To identify people at risk of developing heart disease, public health workers conduct a village-wide cholesterol screening to identify everyone with high cholesterol - a risk factor for heart disease. They find that 25% of the population has "high" total cholesterol values, defined as 240mg/dl. and above. If the sensitivity of the test is 90%, how ma, false negatives would there be in this population? [Round to the nearest whole number. Hint: Draw your square/matrix and figure out which information goes where.)
Sampleton is a small rural village in rural Brazil that has a population of 5,000 with high rates of heart disease. To identify people at risk of developing heart disease, public health workers conduct a village-wide cholesterol screening to identify everyone with high cholesterol - a risk factor for heart disease. They find that 25% of the population has "high" total cholesterol values, defined as 240mg/dl. and above. If the sensitivity of the test is 90%, how ma, false negatives would there be in this population? [Round to the nearest whole number. Hint: Draw your square/matrix and figure out which information goes where.)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:Canvas
Sampleton is a small rural village in rural Brazil that has a population of 5,000 with high rates of heart disease. To identify
people at risk of developing heart disease, public health workers conduct a village-wide cholesterol screening to identify
everyone with high cholesterol - a risk factor for heart disease. They find that 25% of the population has "high" total cholesterol
values, defined as 240mg/di. and above.
If the sensitivity of the test is 90%, how mai, false negatives would there be in this population? [Round to the nearest whole
number. Hint: Draw your square/matrix and figure out which information goes where.)
Disease
Predictive Value
Positive Predictive Value
(PPV)
TP
Total
Positive
Results
True Positive (TP)
False Positive (FP)
TP+FF A+8
(A + B)
Test
Negative Predictive Value
(NPV)
TN
Total
Negative
Results
(C+D)
False Negative (FN)
True Negative (TN)
Sensitivity
Specificity
Sensitivity &
Specificity
TP
TN
TP+FN A+C FP+TNT+D
All non-diseased
patients
(8+ 0)
All diseased patients
3375
O 4500
O 125
O 1125
MacBook Pro

Transcribed Image Text:Using the above information, calculate the specificity of the screening if the intervention produced 3,188 true negatives.
Disease
Predictive Value
Positive Predictive Value
(PPV)
TP
Total
Positive
Results
True Positive (TP)
ralse Positive (FP)
TP+ FP
(A + B)
Test
Negative Predictive Value
(NPV)
Total
Negative
Results
(C+ D)
False Negative (FN)
True Negative (TN)
TN
D
FN+7N
Sensitivity
Specificity
Sensitivity&
Specificity
ТР
TN
TP + FN A+C FP+TN
B+D
All diseased patients
All non-diseased
(A+)
patients
(8+ D)
O 75
90
O 65
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