The open-source analytics community is driving innovation in precompetitive spaces like statistical methodology, reproducibility approaches, visualization techniques, and scaling strategies. The diverse and rapdily evolving ecosystem of open-source …
R is a very powerful tool for performing statistical programming, but has had a lower uptake in the life sciences when compared to SAS. As a result, many of the packages created for R are not focused on the type of tasks Statistical Programmers do. …
The United States Food and Drug Administration (FDA) requires that clinical trial data be submitted in the Study Data Tabulation Model (SDTM) standard format. The process of developing SDTM involves mapping captured raw data to their correspondent …
In 3 years Real World Data Science Analytics in Roche/Genentech transitioned from a small team of former clinical trial programmers supporting a real world evidence team to become the largest department within the Personalised Healthcare (PHC) Centre …
Research is an incremental, iterative process, with new results relying and building upon previous ones. Scientists need to find, retrieve, understand, and trust results in order to confidently extend them, even when the results are their own. We …
R is pretty good in backwards compatibility but still reproducing analysis even given script and data can be a challenge as packages, R, and math libraries keep evolving. www.rocker-project.org offers among other things version-stable R in docker …
REAP (R-Shiny Exploratory Analysis Platform) was developed by the Modeling and Simulation group within the Clinical Pharmacology department at Genentech, Inc., to support exploratory analyses of clinical data. REAP is a web-based, user-friendly, tool …
bioWARP (biostatistical Web-Applications and R Procedures) is a Shiny application enabling employees at Roche Diagnostics to create validated reports for regulatory authorities submissions. bioWARP enables people using advanced statistical methods, …