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Dictionary of Evidence-based Medicine.pdf

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

the precision <strong>of</strong> those estimates (Li Wan Po A (1998) Statistics for pharmacists.<br />

Blackwell Science, Oxford).<br />

Confounder<br />

A confounder is a variable which is correlated with the response <strong>of</strong> interest<br />

in a clinical trial or in an epidemiological study. Confounders may lead to<br />

erroneous conclusions being drawn, particularly in observational studies.<br />

For example, prior to the identification <strong>of</strong> micro-organisms, various spurious<br />

explanations were put forward for infectious disease. Acne was at one<br />

time blamed on excessive masturbation!<br />

Confounding by indication<br />

Confounding by indication is the bias which may arise in observational<br />

studies when patients with the worst prognoses are allocated preferentially<br />

to one treatment. Since randomization is not used, patients treated<br />

with one drug may be systematically different from those treated with the<br />

other. For example, in a recent observational study it was claimed that<br />

use <strong>of</strong> antihypertensives in the elderly was associated with a higher incidence<br />

<strong>of</strong> myocardial infarction (Grobbee DE, Hoes AW (1997) Confounding<br />

and indication for treatment in evaluation <strong>of</strong> drug treatment for<br />

hypertension. BMJ. 315:<br />

Conjoint analysis<br />

Conjoint analysis is a multivariate statistical method for deriving utilities<br />

to represent respondents' preferences for product attributes. The method<br />

attempts to identify trade-<strong>of</strong>fs which the respondents are willing to make<br />

with respect to the various product attributes. From the results, objective<br />

decisions can then be made about preferred combinations <strong>of</strong> attributes<br />

for products or services to be developed. Conjoint analysis is now widely<br />

used in marketing research for the purpose <strong>of</strong> pricing, new product/<br />

concept identification, market segmentation, competitive analysis and<br />

product repositioning (Hair JF Jr, Anderson RE, Tatham RL, Black WC<br />

(1995) Multivariate data analysis. 4th edn. Prentice Hall, Englewood Cliffs).<br />

Consensus development conferences<br />

These are run by the US National Institutes <strong>of</strong> Health (NIH) to elicit<br />

consensus statements about particular health care interventions. At these<br />

conferences, multidisciplinary experts are asked to examine the evidence<br />

on the particular issue at hand to come up with a consensus view, typically<br />

within two days. In some cases, the panel may arrange to meet prior to

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