- Research Article
14
- 10.1093/clinchem/44.8.1773a
On the Meaning of “Sensitivity”: A Rejoinder
- Aug 01, 1998
- Clinical Chemistry
- Roger Ekins + 1 more +1
Although reluctant to monopolize debate on the meaning of “sensitivity”, we feel compelled to respond to Dr. Pardue’s critique (1), which reveals certain misunderstandings and misrepresents our arguments (2). Pardue claims that the “formal definition of sensitivity” is associated with the response/stimulus ratio. But formal definitions have differed, certain authorities defining sensitivity in terms of the detection limit. Elimination of the contradictions underlying the scientific use of the word has been our objective in raising this issue. Contrary to Pardue’s belief (1), we do not argue that the “slope interpretation conflicts with the formal definition”. We comprehend the equivalence of the “slope” and “response/stimulus” definitions, but object to both on the grounds that they conflict with the fundamental meaning of sensitivity. We maintain, in short, that neither is a valid indicator of the ability of an instrument to sense small changes “in that to which it is designed to respond”, and hence of its sensitivity in the generally accepted sense. We nevertheless agree that the response curve slope may be “an invaluable descriptor of one of the most important characteristics of any analytical method” (1), albeit only when combined with estimates of the statistical uncertainty in response measurements. Lacking these, it is impossible to determine whether an observed change in the response constitutes a random fluctuation or reflects a real difference in the measured quantity. In short, the response curve slope is simply a property of the curve (as plotted), not a meaningful indicator of the analytical performance of a system. Pardue claims that “proper use of the slope definition yields much more information than is available in the ’detection limit’ interpretation” (1). However, his view of “proper use” entails combining the slope with “the uncertainty in the measurement response” (termed er). This yields the “quantitative resolution” …
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