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Home / Life Science Solutions / Statistical Graphics
Statistical GraphicsInsightful Clinical Graphics For the effective communication of clinical data across functional areas, and in journals, presentations, and regulatory submissions, Insightful Clinical Graphics enables point-and-click creation of advanced graphics and seamless integration with existing exploratory, presentation, and production reporting environments.
Unlike other solutions, Insightful Clinical Graphics enables rapid creation of statistical graphics without programming while generating code for production jobs. Your team can create more effective graphs faster and eliminate redundant processes.
Speed the analysis and reporting process
Improve the quality of scientific and business decisions
Identify safety and efficacy signals faster
Enable better and faster interactions with regulatory agencies
Easily integrate with SAS and production reporting environment
For more information on the Insightful Clinical Graphics solution, please contact us via email or call in the US/Canada (800) 569-0123, UK +44 (0) 1256 339800, or Basel +41 61 717 9340. SAS® is a registered trademark of SAS Institute, Inc. |
RESOURCES
Download: Insightful Clinical Graphics Brochure
Download Case Study: GSK Streamlines the Design, Analysis and Reporting of Clinical Trial Data
Download Whitepaper: Statistical Graphics and Reporting in Drug Development
Download Opinion Article: Great Statistical Graphics = Good Science + Effective Communication
CWWeekly Article, Jan 2008: Insightful Corp: Statistical and Graphical Analysis and Reporting
Bio IT-World Article, Dec 2007: Insightful Makes Sharing Graphs Easier
ClinPage Article, Dec 2007: FDA - Ready Graphs from Insighful
On-demand Web Cast : Statistical Graphics Mashups for Analysis, Review and Reporting
On-demand Web Cast : Understanding Patient Safety Through Use of Statistical Graphics
On-demand Web Cast : Statistical Modeling and Graphical Analysis of Safety Data in Clinical Trials
On-demand Web Cast: Statistical Graphics for the Design and Analysis of Clinical Development Studies
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