Dictionary of Evidence-based Medicine.pdf
Dictionary of Evidence-based Medicine.pdf
Dictionary of Evidence-based Medicine.pdf
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156 <strong>Dictionary</strong> <strong>of</strong> <strong>Evidence</strong>-<strong>based</strong> <strong>Medicine</strong><br />
drug classes, they can be predicted with reasonable degrees <strong>of</strong> certainty<br />
(Park K, Pirmohamed M, Kitteringham NR (1992) Idiosyncratic drug<br />
reactions: a mechanistic evaluation <strong>of</strong> risk factors. British Journal <strong>of</strong> Clinical<br />
Pharmacology and Therapeutics. 34: 377-95).<br />
Type D adverse reaction<br />
This term is sometimes used to describe carcinogenicity and teratogenicity.<br />
There is usually a long delay between drug exposure and appearance <strong>of</strong><br />
the adverse effect (Park K, Pirmohamed M, Kitteringham NR (1992) Idiosyncratic<br />
drug reactions: a mechanistic evaluation <strong>of</strong> risk factors. British<br />
Journal <strong>of</strong> Clinical Pharmacology and Therapeutics. 34: 377-95).<br />
Type I error<br />
In hypothesis testing this is the probability <strong>of</strong> rejecting the null hypothesis<br />
when it is in fact true. This is a false-positive rate since it gives the probability<br />
<strong>of</strong> erroneously pronouncing a test significant. This error rate is <strong>of</strong>ten<br />
called the a error rate. Conventionally, the a rate in hypothesis testing is<br />
<strong>of</strong>ten set at 0.05 (Li Wan Po A (1998) Statistics for pharmacists. Blackwell<br />
Science, Oxford).<br />
Type II error<br />
In hypothesis testing the type II error is the probability <strong>of</strong> failing to detect<br />
an effect when it is in fact present. This error rate is <strong>of</strong>ten referred to as the<br />
p error. The complement <strong>of</strong> type II error (1-P) is called the power <strong>of</strong> the test.<br />
Conventionally, the (3 error is <strong>of</strong>ten set at 0.8.