Precision can refer to a number of different concepts and so can be a confusing term. Diagnostic precision may refer to a test‘s positive predictive value or its reproducibility when repeated on the same sample (i.e. variation in results due to random error, often expressed as a coefficient of variation). More generally in statistics precision refers to the tightness of distribution (degree of spread around the average value) of a quantity, for example one measured in a population survey. Formally precision is defined as the reciprocal of the variance of this distribution.

How to cite: Precision [online]. (2016). York; York Health Economics Consortium; 2016.

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