Event
PHUSE EU Connect 2024
11.11.2024
About the event
PHUSE EU Connect is an important meeting point for professionals from life sciences, clinical research, and data science. It provides a platform for exchanging ideas on the latest developments and trends in clinical research, data analytics, and regulatory requirements.
Experts from across the pharmaceutical industry come together at PHUSE to share best practices and innovative technologies and to discuss solutions to challenges in clinical trials. HMS once again used this opportunity to explore new tools and technologies, exchange knowledge, and make valuable connections.
Our contribution to PHUSE
Talk
Development of a Customised Statistical Computing Environment for Clinical Trial Data Analysis
Mario Lozina (Boehringer Ingelheim), Dr. Christoph Frank
Analyzing clinical trial data and reporting the results to regulatory authorities are essential steps in bringing pharmaceutical products to market. Boehringer Ingelheim partnered with HMS to develop a modern, independent Statistical Computing Environment (SCE) designed to increase efficiency and provide a tailored solution that meets the specific needs of statistical programmers.
In its first version, the SCE is integrated with SAS Viya and supports two scenarios: launching parameterized SAS Studio sessions and executing multiple programs in batch mode. The system is also designed to support the integration of additional IDEs such as RStudio.
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Talk
Developing Validated R Packages for Standardised and Efficient Statistical Report Generation at Roche Diagnostics
Christoph Ehret (Roche), Dr. Dorothee Childs, Maximilian Kreienbaum
Roche uses catalogs of tables, listings, and figures to enable fast, reproducible, and high-quality reporting of study results. A centralized, validated R package provided by HMS reduces or eliminates repetitive tasks related to data processing and the formatting of reporting outputs.
This approach increases efficiency, promotes standardization, and helps ensure high quality across the Roche user community. In this talk, we present the requirements and our best practices for R package validation.