Navitas Life Sciences

R Programming in Clinical Trial Data Analysis

In the last few years, Data Science has been fueling powerful business decisions taken by Industry leaders. Data scientists are story tellers. They often need to dig into Data, clean, transform, build and validate models, understand pattern, generate insights and, most importantly, communicate results effectively.

In the field of Statistics, Analytics and Visualization, in addition to SAS, most talked about languages are R and Python. Our white paper highlights the current status, the observed challenges of R, proposed approaches for the risk assessment of R packages, mitigation, and implementation for Clinical Trial Data Analysis.

So, what is the Need of the Hour? It is of paramount importance that we understand the bigger picture for the Life Sciences Industry.

Please complete the form to download our White Paper and learn more.


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