In order to evaluate the diagnostic accuracy of a n results of the screening test were compared to the (confirmatory test) in 20,000 patients. From 1200 by the rapid test, only 400 were confirmed +ve. Fro tested negative by the rapid test, 1200 were confir Positive predictive value and the Negative predicti are:

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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In order to evaluate the diagnostic accuracy of a new rapid test for Tuberculosis,
results of the screening test were compared to the Reference golden standard
(confirmatory test) in 20,000 patients. From 1200 individuals who tested positive
by the rapid test, only 400 were confirmed +ve. From 18800 individuals who
tested negative by the rapid test, 1200 were confirmed tuberculosis -ve. The
Positive predictive value and the Negative predictive value of this screening test
are:
O PPV-0.333 & NPV30.064
O PPV=0.667 & NPV=0.936
O PPV=0.936 & NPV-0.667
PPV=0.064 & NPV30.333
Transcribed Image Text:In order to evaluate the diagnostic accuracy of a new rapid test for Tuberculosis, results of the screening test were compared to the Reference golden standard (confirmatory test) in 20,000 patients. From 1200 individuals who tested positive by the rapid test, only 400 were confirmed +ve. From 18800 individuals who tested negative by the rapid test, 1200 were confirmed tuberculosis -ve. The Positive predictive value and the Negative predictive value of this screening test are: O PPV-0.333 & NPV30.064 O PPV=0.667 & NPV=0.936 O PPV=0.936 & NPV-0.667 PPV=0.064 & NPV30.333
Find the outliers in the following data : 280-500-300-450-330-370-400
O No outlier
O 550 only
O 280 only
280 and 550
Transcribed Image Text:Find the outliers in the following data : 280-500-300-450-330-370-400 O No outlier O 550 only O 280 only 280 and 550
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