Roche / Genentech

Roches approach to software validation: an automated pipeline from validation to publication

Over the past year, we’ve designed a process that is meant to mimic public package publishing as closely as possible, where packages are automatically assessed by a series of checks which may prompt manual revision should the automated processing …

Working at the intersection of Biostatistics and Software Engineering in a Pharma company

Increasingly biostatisticians in pharma companies would like to use R on a daily basis, e.g. the growing number of participants in R/Pharma conferences is one metric showing this trend. As R programs replace proprietary software in this regulated …

Creating Submission-Quality Clinical Trial Reporting Tables in R With rtables

Smoothing out our path to open source and pan-pharma code collaboration

In recent years late stage Pharma has begun to transition from a consumer of open source, and a sporadic creator, to a heavily invested collaborator on open source tools like R packages. In this short talk, James will discuss our recent focus on open …

5 testing packages to make your package better!

In this short talk I will present few packages that can be used inside package testing framework that will help to increase overall quality of a package. The main point of focus would be static R code analysis tools such as well-known codetools …

R Package Validation at Roche

R package validation is in all our minds since the pharmaceutical industry started moving away from SAS to R for its statistical analysis and regulatory submissions. Opting for open source programming requires to revisit our way of validating code, …

Clinical Trials Data Analysis at Roche

Unfortunately we do not currently have an abstract, copy of the slides or link to the video to this presentation

Building and Managing Unified R Environments for Data Science and Software Development

R and Biocondutor are important tools supporting scientific workflows across early Research and Development at Roche/Genentech. We have a broad R users community, which includes Data Scientists, Software Developers and consumers of Data Products …

visR - a package for effective visualization in Pharma

Implementing Mixed Models with Repeated Measures (MMRM) in R and Shiny for Regulatory Purposes

MMRMs are often used as the primary analysis of continuous endpoints in longitudinal clinical trials (see e.g. Mallinckrod et al, 2008). Essentially, an MMRM is a specific linear mixed effects model that includes (at least) an interaction of …