Dictionary of Evidence-based Medicine.pdf
Dictionary of Evidence-based Medicine.pdf
Dictionary of Evidence-based Medicine.pdf
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<strong>Dictionary</strong> <strong>of</strong> <strong>Evidence</strong>-<strong>based</strong> <strong>Medicine</strong> 91<br />
Figure 13 A L'Abbe plot<br />
For a diagnostic test, the LR is the ratio <strong>of</strong> the probability <strong>of</strong> obtaining a<br />
result in subjects with the disease relative to the probability <strong>of</strong> obtaining<br />
the same result in subjects without the disease. Two likelihood ratios can<br />
be calculated in each clinical situation: (i) LR positive and (ii) LR negative,<br />
where LR positive is the ratio <strong>of</strong> the probability <strong>of</strong> obtaining a positive test<br />
result in diseased subjects relative to the probability <strong>of</strong> obtaining the same<br />
result in non-diseased subjects. The LR negative is the ratio <strong>of</strong> the probability<br />
<strong>of</strong> obtaining a negative test result in diseased subjects relative to the<br />
probability <strong>of</strong> obtaining the same result in non-diseased subjects.<br />
Likert scale<br />
The Likert scale, named after Rensis Likert, is also known as the summative<br />
scale. It is a rating scale <strong>based</strong> on the summative model, which<br />
assumes that individual items are monotonically related to the underlying<br />
attributes being measured and that the sum <strong>of</strong> the item scores is approximately<br />
linearly related to the attribute. The term is now used more loosely<br />
to describe any scale in which the items are scored on a categorical scale<br />
to show the degree <strong>of</strong> agreement, e.g. 1 = strongly approve; 2 = approve;<br />
3 = neutral; 4 = disapprove; 5 = strongly disapprove.