Author(s)

Susanna Gentile, Valeria Sambucini

Department of Statistical Sciences, Sapienza University of Rome, Rome, Italy.

Sample size determination typically relies on a power analysis based on a frequentist conditional approach. This latter can be seen as a particular case of the two-priors approach, which allows to build four distinct power functions to select the optimal sample size. We revise this approach when the focus is on testing a single binomial proportion. We consider exact methods and introduce a conservative criterion to account for the typical non-monotonic behavior of the power functions, when dealing with discrete data. The main purpose of this paper is to present a Shiny App providing a user-friendly, interactive tool to apply these criteria. The app also provides specific tools to elicit the analysis and the design prior distributions, which are the core of the two-priors approach.

Binomial Proportion, Frequentist and Bayesian Power Functions, Exact Sample Size Determination, Shiny App, Two-Priors Approach

Gentile, S. and Sambucini, V. (2024) Frequentist and Bayesian Sample Size Determination for Single-Arm Clinical Trials Based on a Binary Response Variable: A Shiny App to Implement Exact Methods. Open Journal of Statistics, 14, 90-105. doi: 10.4236/ojs.2024.141004.