Bayesian sample size calculations for comparing two strategies in SMART studies
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DOI: 10.1111/biom.13813
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- P. W. Lavori & R. Dawson, 2000. "A design for testing clinical strategies: biased adaptive within‐subject randomization," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 163(1), pages 29-38.
- De Santis, Fulvio, 2006. "Sample Size Determination for Robust Bayesian Analysis," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 278-291, March.
- Lu Wang & Andrea Rotnitzky & Xihong Lin & Randall E. Millikan & Peter F. Thall, 2012. "Evaluation of Viable Dynamic Treatment Regimes in a Sequentially Randomized Trial of Advanced Prostate Cancer," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(498), pages 493-508, June.
- Murphy S.A. & van der Laan M.J. & Robins J.M., 2001. "Marginal Mean Models for Dynamic Regimes," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 1410-1423, December.
- 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.
- Kelley M. Kidwell & Nicholas J. Seewald & Qui Tran & Connie Kasari & Daniel Almirall, 2018. "Design and analysis considerations for comparing dynamic treatment regimens with binary outcomes from sequential multiple assignment randomized trials," Journal of Applied Statistics, Taylor & Francis Journals, vol. 45(9), pages 1628-1651, July.
- Kevin Kunzmann & Michael J. Grayling & Kim May Lee & David S. Robertson & Kaspar Rufibach & James M. S. Wason, 2021. "A Review of Bayesian Perspectives on Sample Size Derivation for Confirmatory Trials," The American Statistician, Taylor & Francis Journals, vol. 75(4), pages 424-432, October.
- Pierpaolo Brutti & Fulvio Santis & Stefania Gubbiotti, 2014. "Bayesian-frequentist sample size determination: a game of two priors," METRON, Springer;Sapienza Università di Roma, vol. 72(2), pages 133-151, August.
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