PharmacoEconomics

, Volume 13, Issue 5, pp 487–497

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

Authors

    • Centre de Recherche, Centre Hospitalier de léUniversité de MontréalPavillon Hôtel-Dieu
    • Département de Mathématiques et de StatistiqueUniversité de Montréal
  • Anne-Marie Castilloux
    • Centre de Recherche, Centre Hospitalier de léUniversité de MontréalPavillon Hôtel-Dieu
  • Jean-François Angers
    • Département de Mathématiques et de StatistiqueUniversité de Montréal
  • Jacques Le Lorier
    • Centre de Recherche, Centre Hospitalier de léUniversité de MontréalPavillon Hôtel-Dieu
    • Départements de Médecine et de PharmacologieUniversité de Montréal
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