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Healthy Skepticism Library item: 16316

Warning: This library includes all items relevant to health product marketing that we are aware of regardless of quality. Often we do not agree with all or part of the contents.

 

Publication type: Journal Article

Dubben H-H
New methods to deal with publication bias
BMJ 2009 Aug 26; 339:
http://www.bmj.com/cgi/content/extract/339/aug26_1/b3272


Abstract:

Published and retrievable reports of research do not necessarily represent the research performed, and some research findings never reach the consumer. Positive findings-or those that are perceived to be positive-are more likely to be published, and in more prestigious journals, than are negative findings.1 This so called publication bias is an important factor to consider when searching for data and using it to make evidence based decisions. In the linked study (doi:10.1136/bmj.b2981), Moreno and colleagues test the performance of new methods of detecting and correcting for publication bias.2

Data collated for a meta-analysis can be investigated for possible missing studies using a funnel plot,2 3 on which Moreno and colleagues’ method is also based. It is a plot of effect size (for example, relative risk) versus the precision of a trial’s effect estimate (for example, number of patients or standard error). Typically, data points lie in a funnel shaped . . .

 

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As an advertising man, I can assure you that advertising which does not work does not continue to run. If experience did not show beyond doubt that the great majority of doctors are splendidly responsive to current [prescription drug] advertising, new techniques would be devised in short order. And if, indeed, candor, accuracy, scientific completeness, and a permanent ban on cartoons came to be essential for the successful promotion of [prescription] drugs, advertising would have no choice but to comply.
- Pierre R. Garai (advertising executive) 1963