The Use of the Bootstrap Statistical Method for the Pharmacoeconomic Cost Analysis of Skewed Data
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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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- 2.Hogg RV, Tanis EA. Probability and statistical inference. New York: Macmillan, 1988Google Scholar
- 3.Randles RH, Wolfe DA. Introduction to the theory of nonparametric statistics. New York: John Wiley, 1979Google Scholar
- 5.Scheffé H. The analysis of variance. New York: John Wiley, 1959Google Scholar
- 6.Gold MR, Siegel JE, Russell LB, et al. Cost-effectiveness in health and medicine. New York: Oxford University Press, 1996Google Scholar
- 8.Efron B, Tibshirani RJ. An introduction to the bootstrap. New York: Chapman and Hall, 1993Google Scholar
- 9.Hall P. The bootstrap and edgeworth expansion. New York: Springer-Verlag, 1992Google Scholar
- 10.Robert CP. The Bayesian choice, a decision-theoretic motivation. New York: Springer-Verlag, 1994Google Scholar