Why Is PHUSE CAMIS Vitally Important to Statistical Medical Research?
CAMIS (Comparing Analysis Method Implementations in Software) is a PHUSE DVOST Working Group (WG), in collaboration with PSI AIMS SIG, who are building an open-source repository to provide vital information about the application of statistical methodology in software including SAS, R and Python. Industry reliance on SAS software has resulted in a dependence on SAS software default methods, and a lack of understanding about exactly how SAS implements analysis methods.
Category: Working Groups News
CAMIS Blog – Tobit Regression Comparison Between R and SAS (March 2025)
A recent CAMIS contribution explored the standard Tobit model for a virology endpoint (viral load) with a lower detection limit. Read their findings here.
Category: Working Groups News
Advancing Neurology with AI: Bridging Data Quality and Interoperability for Scientific Innovation
Neurological diseases such as Alzheimer’s, Parkinson’s and multiple sclerosis are among the most complex and varied conditions in medicine. Even within the same diagnosis, patients can experience vastly different symptoms, disease progression and treatment responses. Early signs often remain subtle – such as minor changes in memory or movement – and can easily be overlooked.
Category: Industry Topics
Evolving Trends in Regulatory Decision-Making: The Integration of Real-World Data (RWD)
Real-world data is collected from locations such as physicians’ offices, pharmacies, billing centres, hospitals and claims offices. When we integrate data sources, we call that real-world data. Postmarket research, on the other hand, is a broader term. If I want to conduct postmarket research – for example, on a newly launched drug by GSK – I would study how patients are responding to the drug. This could include tracking drug uptake and assessing its safety profile.
Category: Industry Topics