![]() In this paper, we provide examples of common SAS® procedures and syntax that are used in the creation of analysis datasets and TLFs and translate them to Python and R to help the clinical SAS® programmer familiarize themselves with an alternative way of programming and allay their concerns related to learning a new language. Two very useful tools for SAS® programmers wishing to expand their AI knowledge are Python and R. There is a growing movement to integrate artificial intelligence (AI) capabilities, such as machine learning and natural language processing, into the clinical programming world. These outputs are used for submission to regulatory agencies and are generally programmed in SAS®. Many of the day-to-day tasks and responsibilities of the statistical programmer of a pharmaceutical research and development group or contract research organization (CRO) involved include importing/exporting data, deriving variables and creating analysis data sets, and creating clinical study report (CSR) materials such as tables, listings, and figures (TLFs). Python and R made easy for the SAS® Programmer Janet Li, Pfizer
0 Comments
Leave a Reply. |