Abstract
We develop a Bayesian approach for the design of noninferiority clinical trials with co-primary endpoints and multiple dose comparison. The Bayesian approach has the potential of power increase and hence sample size reduction due to the incorporation of the historical data and the correlation structure among multiple co-primary endpoints while it still maintains the family-wise type I error control without additional multiplicity adjustment. In this chapter, we compare the Bayesian method to the conventional frequentist method with or without Bonferroni multiplicity adjustment resulting from the multiple dose comparison. The proposed method is also applied to the design of a clinical trial, in which the study drug at a low dose level and at a high dose level is compared with the active control in terms of the bivariate co-primary endpoints.
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Li, W., Chen, MH., Tan, H., Dey, D. (2015). Bayesian Design of Noninferiority Clinical Trials with Co-primary Endpoints and Multiple Dose Comparison. In: Chen, Z., Liu, A., Qu, Y., Tang, L., Ting, N., Tsong, Y. (eds) Applied Statistics in Biomedicine and Clinical Trials Design. ICSA Book Series in Statistics. Springer, Cham. https://doi.org/10.1007/978-3-319-12694-4_2
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DOI: https://doi.org/10.1007/978-3-319-12694-4_2
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