PharmacoEconomics

, Volume 13, Issue 5, pp 487–497 | Cite as

The Use of the Bootstrap Statistical Method for the Pharmacoeconomic Cost Analysis of Skewed Data

  • Alain Desgagné
  • Anne-Marie Castilloux
  • Jean-François Angers
  • Jacques Le Lorier
Leading Article Bootstrap Statistical Method

Summary

In pharmacoeconomics, the comparison of the costs of 2 different drugs used for the same treatment is of great interest. The problem is especially challenging when the drugs are likely to produce costly adverse effects in a small number of patients, which is often the case. The data are then skewed and traditional statistical methods to analyse the difference in the mean costs produced by 2 treatments may be inappropriate. The bootstrap method is presented as an alternative approach. A pharmacoeconomic cost-analysis example is presented and used throughout this article.

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References

  1. 1.
    Coyle D. Statistical analysis in pharmacoeconomic studies: a review of current issues and standards. Pharmacoeconomics 1996; 9 (6): 506–16PubMedCrossRefGoogle Scholar
  2. 2.
    Hogg RV, Tanis EA. Probability and statistical inference. New York: Macmillan, 1988Google Scholar
  3. 3.
    Randles RH, Wolfe DA. Introduction to the theory of nonparametric statistics. New York: John Wiley, 1979Google Scholar
  4. 4.
    Zhou XH, Melfi CA, Hui SL. Methods for comparison of cost data. Ann Intern Med 1997; 127: 752–6PubMedGoogle Scholar
  5. 5.
    Scheffé H. The analysis of variance. New York: John Wiley, 1959Google Scholar
  6. 6.
    Gold MR, Siegel JE, Russell LB, et al. Cost-effectiveness in health and medicine. New York: Oxford University Press, 1996Google Scholar
  7. 7.
    Chaudhary MA, Stearns SC. Estimating confidence intervals for cost-effectiveness ratios: an example from a randomized trial. Stat Med 1996; 15 (13): 1447–58PubMedCrossRefGoogle Scholar
  8. 8.
    Efron B, Tibshirani RJ. An introduction to the bootstrap. New York: Chapman and Hall, 1993Google Scholar
  9. 9.
    Hall P. The bootstrap and edgeworth expansion. New York: Springer-Verlag, 1992Google Scholar
  10. 10.
    Robert CP. The Bayesian choice, a decision-theoretic motivation. New York: Springer-Verlag, 1994Google Scholar

Copyright information

© Adis International Limited 1998

Authors and Affiliations

  • Alain Desgagné
    • 1
    • 2
  • Anne-Marie Castilloux
    • 1
  • Jean-François Angers
    • 2
  • Jacques Le Lorier
    • 1
    • 3
  1. 1.Centre de Recherche, Centre Hospitalier de léUniversité de MontréalPavillon Hôtel-DieuMontréalCanada
  2. 2.Département de Mathématiques et de StatistiqueUniversité de MontréalMontréalCanada
  3. 3.Départements de Médecine et de PharmacologieUniversité de MontréalMontréalCanada

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