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        "Riociguat phase II trial: Optimal Bayesian two-stage design via design_twoarm_twostage_bf()",
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        "Reducing the expected sample size substantially",
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      "author": "Riko Kelter Institute of Medical Statistics and Computational Biology Faculty of Medicine, University of Cologne Cologne, Germany",
      "engine": "knitr::rmarkdown",
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        "Hybrid calibration: Overview",
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        "Finding an optimal hybrid design",
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        "Bayesian and frequentist expected sample sizes",
        "Frequentist expected sample size",
        "Bayesian expected sample size",
        "Sensitivity to the \\(H_1\\) design prior",
        "Adding a compelling-evidence constraint under \\(H_0\\)",
        "Power cushions in hybrid calibration",
        "Interpretation of power_cushion",
        "Practical guidance",
        "Practical recommendations for hybrid calibration",
        "References"
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      "filename": "bfbin2arm-singlearm-twostage_bayesian.html",
      "title": "Optimal Bayesian calibration for single-arm two-stage Bayes factor designs",
      "author": "| Riko Kelter | Institute of Medical Statistics and Computational Biology | Faculty of Medicine | University of Cologne | Cologne, Germany",
      "engine": "knitr::rmarkdown",
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        "Overview of the calibration algorithm",
        "Interpretation of the corrected operating characteristics",
        "Detailed example: Nonsmall cell lung cancer phase II trial",
        "Optimal design search",
        "Printing and summarizing the result",
        "Accessing and plotting the results",
        "Inspecting the result object",
        "Example with a constraint on compelling evidence for the null hypothesis",
        "Example with a directional test",
        "Summary",
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