  Decision-making is critical at each stage of drug development and making
informed and transparent Go/No-Go decisions require a sound quantitative
decision framework. We designed and implemented GOahead, a comprehensive
web-based tool to improve how statisticians and collaborators could
prospectively plan and implement the selected Go/No-Go decision approach in
real-time. In the paper, we conducted a comprehensive overview of
dual-criterion and confidence interval-based approaches to enable quantitative
decision-making. illustrative examples are demonstrated for single and two arms
designs in both Bayesian and frequentist frameworks, multiple arms design with
MCP-MOD is also demonstrated. GOahead can be found on shinyapps server.
