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Martin and coworkers [ 13] conducted a validation study at a single hospital and found an excellent positive predictive value (97.7%) but a negative predicted value of only 80.0%.
PPV positive predicted value, NPV negative predicted value, CI confidence interval, Pos positive, Neg negative.
The functional form of linear model does not restrict predicted values to be positive and so it is possible to get negative predicted values.
Our approach produces good results with 100% sensitivity, 93% specificity, 93% positive predicted value, 100% negative predicted value, and an overall accuracy of 97%.
The proposed approach shows an improvement on existing studies with 89% sensitivity, 91% specificity, 90% positive predicted value, 90% negative predicted value, and an overall accuracy of 90%.
Another weakness of our surveillance is the short study period and the low number of VAP and CLABSI cases, and the high sensitivity and negative predicted values we measured might be due to this limitation [17].
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Negative predict value.
Revenue exposure is negative (predicting a decline in tax revenues) for all four groups, whereas actual revenue changes were positive for the regressive states.
In addition, the positive predict value is 91.3% (42/46) and the negative predict value is 91.8% (56/61).
>> -wrap-foot> AUC = area under the receiver operating characteristics curve, PPV = positive predicting value, NPV = negative predicting value.
Latex detection for PBP2a (Slidex MRSA-Detection, bioMérieux, Marcy l'Etoile, France) and polymerase chain reaction (PCR) detection for mecA were both negative, predicting nonresistance to oxacillin (2 – 5 ).
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