Development of customized web-applications (on the cloud or on your own server), based on R shiny for interactive analysis and visualization of data.
Interactive data analysis and visualization with R Shiny
We develop customized web-applications (on the cloud or on your own server), based on R shiny for interactive analysis and visualization of data. The Shiny apps can be study specific or designed to work across studies, based on the requested specifications. Shiny apps can be a great tool, to enable interactive exploration of the data for Clinical and Statistics personnel, facilitating a better understanding of your Clinical Trial data.
Some existing uses of Shiny apps:
1. Better understanding of the results: Using dynamic reports during IA or final analysis, in lieu of regular static reports can provide better understanding of the data and the results.
2. Data cleaning. Exploring your data dynamically can enable you to identify easily and effortlessly errors in the data, simplifying your monitoring and data cleaning activities.
3. Monitoring committees review. Providing dynamic reports to Data Monitoring Committees (DMC's) and Data Safety Monitoring Boards (DSMB) can help them accelerate their reviews and help them make more accurate recommendations.
Demos of Shiny apps
Explore some examples of interactive reports generated using R Shiny
Frequency table of Adverse Event data with individual listings when clicking on elements
Mean(SD) plot with individual plots when clicking
Request for Proposal
We bring you modern statistical techniques such as Bayesian methods, adaptive designs, modelling and simulations to help you take better data-driven decisions. Our cost-efficient analysis and reporting capabilities using SAS® helps you build a solid information package to report study results, build registration dossiers, write publications or prepare interactions with investors.