• Corpus ID: 251402759

Sensitivity Analyses of Clinical Trial Designs: Selecting Scenarios and Summarizing Operating Characteristics

@inproceedings{Han2022SensitivityAO,
  title={Sensitivity Analyses of Clinical Trial Designs: Selecting Scenarios and Summarizing Operating Characteristics},
  author={Larry Han and Andrea Arf{\`e} and Lorenzo Trippa},
  year={2022}
}
The use of simulation-based sensitivity analyses is fundamental to evaluate and compare candidate designs for future clinical trials. In this context, sensitivity analyses are especially useful to assess the dependence of important design operating characteristics (OCs) with respect to various unknown parameters (UPs). Typical examples of OCs include the likelihood of detecting treatment effects and the average study duration, which depend on UPs that are not known until after the onset of the… 

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