There was this very embarrassing day around year six of my career as a statistician working in clinical trials. I had a small group of interns working on a project that combined data from multiple clinical trials. The goal was to better understand sources of variation in the common control
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![](https://blogs.sas.com/content/sascom/files/2016/06/henderson.1-600x600.png)
There was this very embarrassing day around year six of my career as a statistician working in clinical trials. I had a small group of interns working on a project that combined data from multiple clinical trials. The goal was to better understand sources of variation in the common control
![](https://blogs.sas.com/content/sascom/files/2016/06/becker.1-600x600.png)
Collecting, managing, standardizing and analyzing clinical data during (and after) a clinical trial is crucial in the process for submission and regulatory approval of a new compound, biological, device or other therapy. A central clinical platform requires: Robust and auditable analytics to prove the result to the authorities and external
Collecting, managing, standardizing and analyzing clinical data during (and after) a clinical trial is crucial in the process for submission and regulatory approval of a new compound, biological, device or other therapy. A central clinical platform requires: Robust and auditable analytics to prove the result to the authorities and external
![](https://blogs.sas.com/content/sascom/files/2016/06/first-macro.png)
SAS is widely used in clinical research activities including: Managing and transforming data. Generating tabular and graphical summaries. Performing powerful statistical analyses such as safety and efficacy evaluations. In addition, SAS provides a number of interfaces from which a user can select to work with the data. One of these
![SAS Studio](https://blogs.sas.com/content/hls/files/2016/06/second-macro.png)
SAS is widely used in clinical research activities including: Managing and transforming data. Generating tabular and graphical summaries. Performing powerful statistical analyses such as safety and efficacy evaluations. In addition, SAS provides a number of interfaces from which a user can select to work with the data. One of these