Objectives

The Application and Implementation of Medical Statistics (AIMS) Special Interest Group (SIG) objective is to support and contribute to working groups researching the use of R in Pharma such as the R consortium working groups (CSRMLW and RTRS), R validation Hub, other SIGs (Data science/Visualization), PhUSE, Pharmaverse and Transcelerate and share this information with the wider PSI community.

Who we are

The AIMS SIG was formed in May 2016 and currently consists of the following team members:

We are also closely linked to the R Validation Hub who are working on the collection of metrics for R packages and the production of guidance information on the use of R in the pharmaceutical industry.  See the following for more information:  https://www.pharmar.org

How to get in touch

If you are interested in joining the AIMS SIG, then please contact Lyn Taylor: Lyn.Taylor@parexel.com
If you are interested in joining the R validation Hub contact: psi.aims.r.validation@gmail.com

R Validation Hub

AIMS was awarded funding from the R-Consortium in June 2018 to create of an online repository for R package validation in accordance with regulatory standards.  The desire to use R in the pharmaceutical industry is evident due to it being a very powerful object-orientated language, able to produce analyses and high quality graphics and being open source hence readily enabling bespoke extensions.  It can be used for high performance computing and allows easy integration with other software.  It can also be used for complex analyses which is especially important when these analyses are not available in SAS.  The AIMS SIG acted as a springboard for the R Validation Hub initiative which has now grown into it's own committee with involvement of over 100 people representing 60 companies.   For more information see: https://www.pharmar.org/  If you are interested in contributing to this project please contact: psi.aims.r.validation@gmail.com.

R Training and Help

Substantial free training is available for R. Some of our favourite sources are listed below.

• R Studio Starting Links
  • RStudio Education (Beginners)
  • RStudio Education (Intermediates)
  • RStudio Education (Experts)
  • RStudio Webinars - RStudio

• R Studio Cheat sheets: https://rstudio.com/resources/cheatsheets/
• eBooks:
  • Advanced R. - Hadley Wickham.
  • R Packages. - Hadley Wickham.
  • R for Data Science - Garrett Grolemund, Hadley Wickham.
  • bookdown: Authoring Books and Technical Documents with R Markdown - Yihui Xie
  • Efficicient R Programming. - Colin Gillespie, Robin Lovelace
  • Home | Bookdown

     

• Guided Learning (range of free and paying courses)
  • https://www.edx.org/learn/r-programming
  • https://www.datacamp.com/
  • https://www.coursera.org/learn/r-programming
    

  • R Programming MOOC and Free Online Courses | MOOC List (mooc-list.com)

• Blogs/ Videos
  • R-bloggers
  • RStudio | Open source & professional software for data science teams - RStudio
  • R Views (rstudio.com)
  • https://www.youtube.com/results?search_query=R+language 

Useful References

The SIG Charter and our Articles to date are shown below.

The R Shiny Apps created by Chris Toffis and demonstrated at the PSI Conference in 2018 are able to download below.   Note that these are intended to demonstrate what R Shiny can do and are not validated apps.  The datasets used are dummy and contain no real patient data.  PSI and the AIMS SIG accept no responsibility for their use.  The ae_app.R is an application for interactive Adverse Event tabulation and  labs_app.R creates an app for the graphical presentation and exploration of Laboratory data.   SAS datasets are also provided to accompany each app.