A worldwide yearly survey of new data and trends in adverse by Jeffrey K. Aronson (Eds.)

By Jeffrey K. Aronson (Eds.)

The unintended effects of gear Annual was once first released in 1977. it's been continuously released considering then, as a each year replace to the voluminous encyclopedia Meyler's unintended effects of substances. every one new Annual keeps to supply clinicians and scientific investigators with a competent and demanding each year survey of recent facts and tendencies within the quarter of inauspicious Drug Reactions and Interactions. a world crew of experts has contributed to the Annuals by way of making a choice on severely from every one year's writing all that's really new and informative, via severely reading it, and via pointing to no matter what is deceptive. *Provides a severe every year survey of latest information and traits *Includes an essay that describes the fashionable method of classifying hostile drug reactions *Special stories during this Annual contain, between different subject matters: Antipsychotic medicinal drugs and now-onset diabetes mellitus, Treating bronchial asthma while pregnant, and MMR vaccine and autism

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Extra resources for A worldwide yearly survey of new data and trends in adverse drug reactions

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Gill CJ, Sabin L, Schmid CH. Why clinicians are natural Bayesians. BMJ 2005;330:1080–3. 35. Griffiths T, Tenenbaum J. Statistics and the Bayesian mind. Significance 2006;3:130–3. 36. Stahl M, Lindquist M, Edwards IR, Brown EG. Introducing triage logic as a new strategy for the detection of signals in the WHO Drug Monitoring Database. Pharmacoepidemiol Drug Saf 2004;13:355–63. 37. Edwards IR, Lindquist M, Wiholm BE, Napke E. Quality criteria for early signals of possible adverse drug reactions. Lancet 1990;336:156–8.

Serum sicknesslike reactions to cefaclor. J Clin Epidemiol 1992;45:1177–84. 22. Meyboom RH, Egberts AC, Edwards IR, Hekster YA, de Koning FH, Gribnau FW. Principles of signal detection in pharmacovigilance. Drug Saf 1997;16:355–65. 23. Hauben M, Reich L. Communication of findings in pharmacovigilance: use of the term “signal” and the need for precision in its use. Eur J Clin Pharmacol 2005;61:479–80. 24. Hauben M, Reich L, Chung S. Postmarketing surveillance of potentially fatal reactions to oncology drugs: potential utility of two signaldetection algorithms.

Use of proportional reporting ratios (PRRs) for signal generation from spontaneous adverse drug reaction reports. Pharmacoepidemiol Drug Saf 2001;10:483–6. 5. DuMouchel W. Bayesian data mining in large frequency tables, with an application to the FDA Spontaneous Reporting System. Am Stat 1999;53:177–90. 6. Bonacina S, Masseroli M, Pinciroli F. Foreseeing promising bio-medical findings for effective applications of data mining. Biol Med Data Anal Proc 2005:130–6. 7. World Health Organization. The Importance of Pharmacovigilance.

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