Spend any time in clinical biostatistics and the debate is unavoidable: SAS or R? R or Python? And which language is best suited for regulatory scrutiny? It's a debate that has consumed real time, real budget and real organizational energy for the better part of a decade. And here's the
Health care has never measured quality more aggressively. Organizations track thousands of measures across clinical quality, patient experience, access and outcomes. From readmissions and medication adherence to patient satisfaction and preventive care, organizations have more ways than ever to understand how well care is being delivered. Yet despite having more
Run the same analysis on the same data. You should get the same result. Every time. In clinical research, that simply isn’t a best practice. It’s a regulatory expectation. Yet, a surprising number of clinical research teams still rely on individual analysts, local computing environments and manual documentation to ensure
