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  "Title": "Adaptive Trial Designs for Survival and Binary Endpoints",
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  "Description": "Implements Goldilocks adaptive trial designs for\ntime-to-event and fixed-time binary endpoints. Outcomes are\ngenerated with a piecewise exponential model, with conjugate\nGamma priors used for predictive imputation. Final analyses may\nuse log-rank, Cox, or restricted mean survival time tests,\nBayesian piecewise-exponential inference, frequentist risk\ndifferences, or Bayesian beta-binomial inference. The method\nclosely follows Broglio et al. (2014)\n<doi:10.1080/10543406.2014.888569> and supports simulation of\ndesign operating characteristics.",
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  "Date/Publication": "2026-09-08 18:41:13 UTC",
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  "Author": "Graeme L. Hickey [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-4989-0054>),\nYing Wan [aut],\nThevaa Chandereng [aut] (ORCID:\n<https://orcid.org/0000-0003-4078-9176>, bayesDP code as a\ntemplate),\nBecton, Dickinson and Company [cph],\nTim Kacprowski [ctb] (For code from fastlogrank R package.)",
  "Maintainer": "Graeme L. Hickey <graemeleehickey@gmail.com>",
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