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SUMMARY:PHUSE EU Connect 2024
DESCRIPTION:PHUSE EU Connect is an important meeting point for professional
 s from life sciences, clinical research, and data science. It provides a pl
 atform for exchanging ideas on the latest developments and trends in clinic
 al research, data analytics, and regulatory requirements.\n\nExperts from a
 cross the pharmaceutical industry come together at PHUSE to share best prac
 tices 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.\n\n\n
 \nOur contribution to PHUSE\n\n\n\nTalk\n\nDevelopment of a Customised Stat
 istical Computing Environment for Clinical Trial Data Analysis\n\nMario Loz
 ina (Boehringer Ingelheim), Dr. Christoph Frank\n\nAnalyzing clinical trial
  data and reporting the results to regulatory authorities are essential ste
 ps in bringing pharmaceutical products to market. Boehringer Ingelheim part
 nered with HMS to develop a modern, independent Statistical Computing Envir
 onment (SCE) designed to increase efficiency and provide a tailored solutio
 n that meets the specific needs of statistical programmers.\n\nIn its first
  version, the SCE is integrated with SAS Viya and supports two scenarios: l
 aunching parameterized SAS Studio sessions and executing multiple programs 
 in batch mode. The system is also designed to support the integration of ad
 ditional IDEs such as RStudio.\n\nDownload presentation now Download paper 
 now\n\n\n\nTalk\n\nDeveloping Validated R Packages for Standardised and Eff
 icient Statistical Report Generation at Roche Diagnostics\n\nChristoph Ehre
 t (Roche), Dr. Dorothee Childs, Maximilian Kreienbaum\n\nRoche uses catalog
 s of tables, listings, and figures to enable fast, reproducible, and high-q
 uality reporting of study results. A centralized, validated R package provi
 ded by HMS reduces or eliminates repetitive tasks related to data processin
 g and the formatting of reporting outputs.\n\nThis approach increases effic
 iency, promotes standardization, and helps ensure high quality across the R
 oche user community. In this talk, we present the requirements and our best
  practices for R package validation.\n\nDownload presentation now Download 
 paper now
LOCATION:Strasbourg Convention Bureau
DTSTAMP:20261005T120629Z
DTSTART:20241111T080000Z
DTEND:20241113T160000Z
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