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Pocket Guide to Diagnostic Tests-0838581358.pdf

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14 <strong>Pocket</strong> <strong>Guide</strong> <strong>to</strong> <strong>Diagnostic</strong> <strong>Tests</strong><br />

.1<br />

99<br />

.2<br />

.5<br />

95<br />

1<br />

1000<br />

500<br />

90<br />

2<br />

5<br />

10<br />

200<br />

100<br />

50<br />

20<br />

10<br />

5<br />

80<br />

70<br />

60<br />

50<br />

40<br />

%<br />

20<br />

30<br />

40<br />

50<br />

60<br />

70<br />

80<br />

2<br />

1<br />

.5<br />

.2<br />

.1<br />

.05<br />

.02<br />

.01<br />

.005<br />

30<br />

20<br />

10<br />

5<br />

2<br />

%<br />

90<br />

.002<br />

.001<br />

1<br />

95<br />

.5<br />

.2<br />

99<br />

Pretest<br />

probability<br />

Likelihood<br />

ratio<br />

.1<br />

Posttest<br />

probability<br />

Figure 1–7. Nomogram for determining posttest probability from pretest probability and likelihood<br />

ratios. To figure the posttest probability, place a straightedge between the pretest probability<br />

and the likelihood ratio for the particular test. The posttest probability will be where<br />

the straightedge crosses the posttest probability line. (Adapted and reproduced, with permission,<br />

from Fagan TJ: Nomogram for Bayes’s theorem. N Engl J Med 1975;293:257.)

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