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- W4221138669 abstract "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." @default.
- W4221138669 created "2022-04-03" @default.
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- W4221138669 date "2022-01-26" @default.
- W4221138669 modified "2023-10-16" @default.
- W4221138669 title "A Comprehensive Toolbox to Facilitate Quantitative Decision Science in Drug Development: A web-based R shiny application GOahead" @default.
- W4221138669 doi "https://doi.org/10.48550/arxiv.2201.11267" @default.
- W4221138669 hasPublicationYear "2022" @default.
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