Abstract
The crossover design is a sensitive means of determining the efficacy of new drugs because it eliminates between subject-variability. However, when the response in the first period carries on into the second (carryover effects) or when time factors can not be kept constant in a lengthy crossover (time effects), the statistical power of testing may be jeopardized. We recently demonstrated that the crossover design with binary variables is a powerful method in spite of such factors as carryover effects. Power analysis of crossover trials with continuous variables have not been explicitly studied.
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References
Niemeyer MG, Zwinderman AH, Cleophas TJ, De Vogel EM. Crossover studies are a better format for comparing equivalent treatments than parallel-group studies. In: Kuhlmann J, Mrozikiewicz A, eds, What should a clinical pharmacologist know to start a clinical trial (phase I and II). Munich, Germany, Zuckschwerdt Verlag, 1998, pp 40–8.
Scheffé H. Mixed models. In: Scheffé H, ed, The analysis of variance. New York, Wiley & Sons, 1959, pp 261–91.
Cleophas TJ. Crossover studies: a modified analysis with more power. Clin Pharmacol Ther 1993; 53: 515–20.
Willan AR,Pater JL. Carryover and the two-period crossover clinical trial. Biometrics 1986; 42: 593–9.
Freeman PR. The performance of the two-stage analysis of two-treatment, two-period crossover trials. Stat Med 1989; 8: 1421–32.
Fleiss JA. A critique of recent research on the two-treatment crossover design. Control Clin Trials 1989; 10: 237–41.
Seim S. The AB/BA crosover: past, present and future. Stat Methods Med Res 1994; 3: 303–24.
Grieve AP. Bayesian analyses of two-treatment crossover studies. Stat Methods Med Res 1994; 3: 407–29.
Cleophas TJ, Van Lier HH. Clinical trilas with binary responses: power analyses. J Clin Pharmacol 1996; 36: 198–204.
Nies AS, Spielberg SP. Individualization of drug therapy. In: Hardman JL et al., eds, Goodman and Gilman’s Pharmacological Basis of Therapeutics. New York: McGraw-Hi11, 1996, pp 43–63.
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© 2000 Springer Science+Business Media Dordrecht
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Cleophas, T.J., Zwinderman, A.H., Cleophas, T.F. (2000). Capitum Selectum, Crossover Studies with Continuous Variables: Power Analysis. In: Statistics Applied to Clinical Trials. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-9508-7_10
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DOI: https://doi.org/10.1007/978-94-015-9508-7_10
Publisher Name: Springer, Dordrecht
Print ISBN: 978-0-7923-6184-8
Online ISBN: 978-94-015-9508-7
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