Using R Shiny to Create Interactive and Web-Based Health Economic Models:
Challenges and Opportunities
About this webinar
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.
Who should attend
- Health Economics
- Outcomes Research
- Real-World Evidence
- Regulatory Affairs
- Medical Affairs
What you will learn
- Possible Use of R and R Shiny
- Interactive and Web-Based Data Presentation
- Interactive and Web-Based Common User Access (CUA)
Featured Speakers
Emma Hernlund, PhD
Emma Hernlund has worked in health economics and outcomes research since 2011, and has managed and supported a broad range of projects. She has extensive experience in health economic modelling, retrospective data studies, literature reviews and database mappings.
Moa Ivergard has over ten years’ experience in health economics and outcomes research. At ICON, she is responsible for developing economic models in a variety of indications for HTA submissions, conducting retrospective data studies and developing interactive web applications for data visualization.
Moa Ivergard, MS
Moa Ivergard has over ten years’ experience in health economics and outcomes research. At ICON, she is responsible for developing economic models in a variety of indications for HTA submissions, conducting retrospective data studies and developing interactive web applications for data visualization.
Gianluca Baio
Gianluca Baio leads the Statistics for Health Economic Evaluation research group within the department of Statistical Science at University College London, which research evolves around the development and application of Bayesian statistical methodology for health economic evaluation. Moreover, Baio collaborates with the UK National Institute for Health and Care Excellence (NICE) as a Scientific Advisor on Health Technology Appraisal projects.
Partner for this event
ICON
ICON plc is a global provider of outsourced drug and device development and commercialization services to pharmaceutical, biotechnology, medical device, and government and public health organisations. The company specialises in the strategic development, management and analysis of programs that support clinical development from compound selection to Phase I-IV clinical studies. With headquarters in Dublin, Ireland, ICON currently operates from 98 locations in 40 countries and has approximately 15,200 employees.
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