PharmacoEconomics

, Volume 13, Issue 5, pp 487–497

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

DOI: 10.2165/00019053-199813050-00002

Cite this article as:
Desgagné, A., Castilloux, A., Angers, J. et al. Pharmacoeconomics (1998) 13: 487. doi:10.2165/00019053-199813050-00002

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.

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