The potential for bias in reporting of industry-sponsored clinical trials

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Pyke, S., Julious, S. A., Day, S., O'Kelly, M., Todd, S. orcid id iconORCID: https://orcid.org/0000-0002-9981-923X, Matcham, J. and Seldrup, J. (2011) The potential for bias in reporting of industry-sponsored clinical trials. Pharmaceutical Statistics, 10 (1). pp. 74-79. ISSN 1539-1612 doi: 10.1002/pst.429

Abstract/Summary

Concerns about potentially misleading reporting of pharmaceutical industry research have surfaced many times. The potential for duality (and thereby conflict) of interest is only too clear when you consider the sums of money required for the discovery, development and commercialization of new medicines. As the ability of major, mid-size and small pharmaceutical companies to innovate has waned, as evidenced by the seemingly relentless decline in the numbers of new medicines approved by Food and Drug Administration and European Medicines Agency year-on-year, not only has the cost per new approved medicine risen: so too has the public and media concern about the extent to which the pharmaceutical industry is open and honest about the efficacy, safety and quality of the drugs we manufacture and sell. In 2005 an Editorial in Journal of the American Medical Association made clear that, so great was their concern about misleading reporting of industry-sponsored studies, henceforth no article would be published that was not also guaranteed by independent statistical analysis. We examine the precursors to this Editorial, as well as its immediate and lasting effects for statisticians, for the manner in which statistical analysis is carried out, and for the industry more generally.

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Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/19132
Identification Number/DOI 10.1002/pst.429
Refereed Yes
Divisions Science > School of Mathematical, Physical and Computational Sciences > Department of Mathematics and Statistics > Applied Statistics
Science > School of Mathematical, Physical and Computational Sciences > Department of Mathematics and Statistics
Publisher Wiley
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