These features can be useful to enhance the presentation of study results, and to provide a more accessible, user-friendly and flexible interface for health economic models with high analytic capabilities.
TORONTO (PRWEB) November 20, 2020
As the complexity of health economic decision making increases, there is a need for more powerful programming tools to support statistical analysis. R is an open-source high-level programming language for statistical computing and graphics that is widely used and supported by statisticians, data scientists and health economists. Shiny is an R package that provides a powerful web framework for building interactive web applications, while taking advantage of the various possibilities for data analysis and data visualization that R provides. These features can be useful to enhance the presentation of study results, and to provide a more accessible, user-friendly and flexible interface for health economic models with high analytic capabilities.
Join experts from ICON, Emma Hernlund, PhD, Lead Consultant, Global Health Economics; and Moa Ivergard, MS, Senior Consultant, Global Health Economics; as well as Gianluca Baio, Professor of Statistics and Health Economics, Department of Statistical Science at University College London, for the live webinar on Monday, December 7, 2020 at 11am EST (4pm GMT/UK).
For more information, or to register for this event, visit Using R Shiny to Create Interactive and Web-Based Health Economic Models: Challenges and Opportunities.
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