Data analysis
Parameters used to compare the quality of the
tests were the percentage of invalid test results,
eg, missing control band or coloured background;
the percentage of results that were difficult to interpret,
eg, weak control band, spots or dirty result
window; the diagnostic sensitivity (the proportion
of positive test results in infected animals);
the diagnostic specificity (the proportion of negative
test results in uninfected animals); the
positive predictive value (the probability that
a test-positive animal is infected); and the negative
predictive value (the probability that a testnegative
animal is uninfected). In addition, the
positive predictive values when combining two
FIV and FeLV test systems were calculated.
Data analysisParameters used to compare the quality of thetests were the percentage of invalid test results,eg, missing control band or coloured background;the percentage of results that were difficult to interpret,eg, weak control band, spots or dirty resultwindow; the diagnostic sensitivity (the proportionof positive test results in infected animals);the diagnostic specificity (the proportion of negativetest results in uninfected animals); thepositive predictive value (the probability thata test-positive animal is infected); and the negativepredictive value (the probability that a testnegativeanimal is uninfected). In addition, thepositive predictive values when combining twoFIV and FeLV test systems were calculated.
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