The Use of Git in Statistical Programming
- Nicola Newton
Project Scope |
What features are most beneficial to stat programming? What are the benefits of Git? There is interest across the pharmaceutical industry in using Git for statistical programming. Some companies have already incorporated Git, or are attempting to, and there are common challenges being faced. In these cases, the introduction of Git has increased the complexity of a statistical programmer’s tasks, which has led to challenges in uptake and to taking advantage of the benefits Git offers. This is an important challenge to overcome for increasing efficiency of operations. The purpose of this Working Group project is to provide the industry with tools and guidance for addressing and overcoming this common challenge. |
| Project Leads | |
|---|---|
Caroline Phares, Altair | |
| Eleanor Sparling, GSK | eleanor.x.sparling@gsk.com |
| Kieran Martin, Roche | kieran.martin@roche.com |
| Nicola Newton, PHUSE Project Assistant |
CURRENT STATUS Q1 2025 |
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Objectives & Deliverables | Timelines |
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1. Principles for using Git and example workflow(s) in context of the current QC process 2. PHUSE white paper on Git for statistical programming, to cover:
3. Core education on Git for statistical programmers 4. Soft proposal for an alternative QC process using Git features | TBC |