Drug Safety

, Volume 31, Issue 11, pp 1049–1052 | Cite as

Stratification for Spontaneous Report Databases

  • Stephen J.W. Evans
Commentary

Notes

Acknowledgements

No sources of funding were used to assist in the preparation of this commentary. The author has no conflicts of interest that are directly relevant to the content of this commentary.

References

  1. 1.
    Woo EJ, Ball R, Burwen DR, et al. Effects of stratification on data mining in the US Vaccine Adverse Event Reporting System (VAERS). Drug Saf 2008; 31(8): 667–74PubMedCrossRefGoogle Scholar
  2. 2.
    Hopstadius J, Norén GN, Bate A, et al. Impact of stratification in adverse drug reaction surveillance. Drug Saf 2008; 31(11): 1035–48PubMedCrossRefGoogle Scholar
  3. 3.
    Hauben M, Reich L. Safety related drug-labelling changes: findings from two data mining algorithms [published erratum appears in Drug Saf 2006; 29 (12): 1192]. Drug Saf 2004; 27(10): 735–44PubMedCrossRefGoogle Scholar
  4. 4.
    Almenoff JS, Pattishall EN, Gibbs TG, et al. Novel statistical tools for monitoring the safety of marketed drugs. Clin Pharmacol Ther 2007; 82(2): 157–66PubMedCrossRefGoogle Scholar
  5. 5.
    Wang R, Lagakos SW, Ware JH, et al. Statistics in medicine: reporting of subgroup analyses in clinical trials. N Engl J Med 2007; 357(21): 2189–94PubMedCrossRefGoogle Scholar
  6. 6.
    Hopstadius J. Methods to control for confounding variables in screening for association in the WHO drug safety database [master's thesis]. Uppsala: Department of Mathematics, Uppsala University, 2006Google Scholar

Copyright information

© Adis Data Information BV 2008

Authors and Affiliations

  • Stephen J.W. Evans
    • 1
  1. 1.The London School of Hygiene & Tropical MedicineLondonUK

Personalised recommendations