Perspectives in Data Interpretation Flashcards
What is the phase of error is most common
Pre-Analytical Phase
Analytical Phase
Errors with the analyzer - instrument function, personnel knowledge and training, SOPs
Reference Interval
Describes flunctuations of disease in a healthy population
Diagnostic Specificity
Measures the frequency with which a test result will be negative in animals that do not have the disease of interest
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A specific result helsp rule in a diseas
Negative Predicitve Value
Probability that a negative test result truly indicates the animal does not have the disease.
Technical Effects
Errors due to sampling technique and specimen management before analysis
Negative Predictive Value =
NPV = TN / (TN+FN) x 100%
Biogical Factors in pre-analytical error
Errors inherent with the animal sampled
How many animals sampled would make a great reference interval?
> 120
Diagnostic Accuracy
Measures the frequncy that a test correctly classifies an animal as having or not having a disease
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High diagnostic accuracy has few false positives and false negatives
Positive Predictive Value =
PPV = TP/ (TP+FP) x 100%
Post-Analytical Phase
Errors in transcription
Misinterpretation / misreading results
3 phases of error
Pre-Analytical Phase
Analytical Phase
Post-Analytical Phase
Positive Predictive Value
Probability that a positive (abnormal) test result truely indicates teh animal has the disease
2 major categories of errors that occur during the pre-analytical phase
Technical Effects
Biological Factors