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Content provided by Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry, Alexander Schacht, Benjamin Piske, and Leaders in the pharma industry. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry, Alexander Schacht, Benjamin Piske, and Leaders in the pharma industry or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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Moving from SAS to R - Practical Tips Part 3

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Manage episode 377889860 series 2400265
Content provided by Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry, Alexander Schacht, Benjamin Piske, and Leaders in the pharma industry. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry, Alexander Schacht, Benjamin Piske, and Leaders in the pharma industry or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Interview with Thomas Nietmann
  • R is an open source statistical programming language favored for its complex collaborations between pharmaceutical companies.
  • It is possible to transition from SAS to R as long as the user is familiar with mathematical concepts and thinking required to work with data.
  • Tools like Quarto, Unmarkedon, and Reproducible Expert can help make the transition smoother and make users more efficient in programming.
  • A SAS to R course tailored for healthcare and pharmaceutical professionals may be a good resource.

Interested to learn more? Check out the links and course:

Share this link to your friends and colleagues who can benefit from this episode!

  continue reading

367 episodes

Artwork
iconShare
 
Manage episode 377889860 series 2400265
Content provided by Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry, Alexander Schacht, Benjamin Piske, and Leaders in the pharma industry. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry, Alexander Schacht, Benjamin Piske, and Leaders in the pharma industry or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Interview with Thomas Nietmann
  • R is an open source statistical programming language favored for its complex collaborations between pharmaceutical companies.
  • It is possible to transition from SAS to R as long as the user is familiar with mathematical concepts and thinking required to work with data.
  • Tools like Quarto, Unmarkedon, and Reproducible Expert can help make the transition smoother and make users more efficient in programming.
  • A SAS to R course tailored for healthcare and pharmaceutical professionals may be a good resource.

Interested to learn more? Check out the links and course:

Share this link to your friends and colleagues who can benefit from this episode!

  continue reading

367 episodes

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