Assessments of Conditional and Unconditional Type I Error Probabilities for Bayesian Hypothesis Testing with Historical Data Borrowing
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DOI: 10.1007/s12561-021-09318-2
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References listed on IDEAS
- Brian P. Hobbs & Bradley P. Carlin & Sumithra J. Mandrekar & Daniel J. Sargent, 2011. "Hierarchical Commensurate and Power Prior Models for Adaptive Incorporation of Historical Information in Clinical Trials," Biometrics, The International Biometric Society, vol. 67(3), pages 1047-1056, September.
- S. K. Sahu & T. M. F. Smith, 2006. "A Bayesian method of sample size determination with practical applications," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(2), pages 235-253, March.
- Riko Kelter, 2021. "Analysis of type I and II error rates of Bayesian and frequentist parametric and nonparametric two-sample hypothesis tests under preliminary assessment of normality," Computational Statistics, Springer, vol. 36(2), pages 1263-1288, June.
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Cited by:
- Lanju Zhang & Naitee Ting, 2022. "Introduction to Special Issue on Leveraging External Data to Improve Trial Efficiency," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 14(2), pages 193-196, July.
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Keywords
Historical data borrowing; Design prior; Posterior probability; Conditional power;All these keywords.
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