Clinical trials generate tons of data—everything from patient demographics to lab results and adverse events. This data often comes from different sources, making it hard to organize consistently.
The life sciences industry is witnessing a fundamental shift-one that is driven not just by data, but by intelligent automation. Having spent over 17 years working at the intersection of clinical ...
A hands-on R training for clinical SAS programmers — learn to transition from SAS to R through 7 interactive modules covering data manipulation, SDTM programming, and QC reporting.
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