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Dictionary of Evidence-based Medicine.pdf

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12 <strong>Dictionary</strong> <strong>of</strong> <strong>Evidence</strong>-<strong>based</strong> <strong>Medicine</strong><br />

making (available from the British Medical Association or from the ACP<br />

(tel: +800-523-1546 ext. 2600).<br />

Best evidence synthesis<br />

Best evidence synthesis refers to the systematic review <strong>of</strong> the literature on<br />

a particular research question using an approach which combines the best<br />

features <strong>of</strong> meta-analysis and narrative reviews. At its heart is the use<br />

<strong>of</strong> consistent, well-justified and a priori inclusion criteria. Therefore, this<br />

approach is essentially the same as that adopted in a good systematic<br />

review and the terms can be used synonymously (Slavin RE (1995) Best<br />

evidence synthesis: an intelligent alternative to meta-analysis. Journal <strong>of</strong><br />

Clinical Epidemiology. 48: 9-18).<br />

Beyren's-Fisher problem<br />

The hypothesis testing for the equality <strong>of</strong> the means <strong>of</strong> two normal<br />

distributions known not to have the same variance is difficult using classic<br />

statistics. This problem is known as the Beyren's-Fisher problem. Of the<br />

various test statistics proposed, the one generally adopted is given by:<br />

where x v x v s 2 2 , s 2 2 , n v n 2 are the means, variances and sizes <strong>of</strong> the samples<br />

<strong>of</strong> observations from the two populations, d/is the degrees <strong>of</strong> freedom for<br />

the t distribution.<br />

BGA<br />

BGA is the abbreviation for Bundesgesundheitsamts, the Federal Health<br />

Office which acts as the German Drug Regulatory Agency.<br />

Bias<br />

Bias refers to the systematic deviation <strong>of</strong> an estimates from the true value.<br />

Unlike random variations round a true estimate, a biased estimate is one<br />

which is consistently lower or higher than the true value. For example, if a<br />

coin is fair and we flick it, say, 500 times and calculate the proportion <strong>of</strong>

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