Instat has developed a proprietary SAS-driven analysis and reporting system called CDAR (Clinical Data Analysis and Reporting). This system helps standardize common statistical analyses and streamlines the generation of statistical tables. CDAR allows our biostatisticians to spend more time understanding your study data and presenting informed and accurate results.
Instat has developed a quality process for statistical programming that incorporates some of the best practices in software development and testing. Our process ensures quality deliverables for your projects.
Instat's code revision software and tracking system follow each program through the programming, validating and revision process. The validator double programs, and the team collaborates to resolve any issues discovered.
The system tracks all code changes, including issues and comments from internal or external review, and the validator documents when issues are resolved. Every issue is documented and addressed using our tracking to resolution process.
Instat has invested heavily in state-of-the-art infrastructure and software to create a reliable, efficient, and compliant computing environment for our statistical and programming services. Instat’s servers are hosted entirely in virtual machines on the Google Cloud Platform. This allows us to rely on Google’s proven record of stability and reliability in cloud computing.
Instat has created custom in-house technology that allows its team members to efficiently collaborate in order to generate high quality output. We are passionate about developing ways we can leverage our cloud-first environment to exceed client expectations.
All biostatistics development and validation is done in a secure centralized cloud environment. Data stored on our cloud environment follows industry standards and is fully encrypted at rest using the AES-256 algorithm. Deliverables are sent to clients via a protected file-sharing service. This system allows for secure collaboration and communication for your projects.