Overview

R is quickly gaining popularity within the pharmaceutical industry due to it being a very powerful object-orientated language, and is able to produce analyses and high quality graphics. It can be used for high performance computing and allows easy integration with other software.

This course is aimed at clinical trial statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R. The content can also be applied more widely in a non-clinical trial context. Participation will provide access to extensive course materials in the form of a 'bookdown' site. However, this is designed as a hands-on, interactive course. Both you and the trainers will work entirely within the RStudio Cloud development environment, which will remain accessible between virtual sessions in order to further explore and cement your understanding.

Topics covered include:

1. Introduction to R and Rstudio

2. Data types and vectors

3. Welcome to tidyverse

4. Importing/exporting data

5. Handling data

6. Piping

7. Summaries and aggregation

8. Setting and merging

9. Transposing data

10. Introduction to statistical analysis in R

11. R graphics with ggplot2

Who is this event intended for? This course is aimed at clinical trial statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R. The content can also be applied more widely in a non-clinical trial context.

What is the benefit of attending? Attendees will learn how to: understand data manipulation in R via the "Tidyverse"; produce R graphics with ggplot2; and perform & interpret basic statistical analyses in R.

Dates & Timings:

This course will be run online via Zoom, and consists of 5 x 2-hour main training sessions & 5 x 1-hour drop-in Q&A sessions run over a 5-week period. Due to the popularity of this Course, we kindly ask you to review the dates & times and ensure you are able to attend, before registering.

• Main session: Monday 29th January | Drop-in Q&A session: Friday 2nd February
• Main session: Monday 5th February | Drop-in Q&A session: Friday 9th February
• Main session: Monday 12th February | Drop-in Q&A session: Friday 16th February
• Main session: Monday 19th February | Drop-in Q&A session: Friday 23rd February
• Main session: Monday 26th February | Drop-in Q&A session: Friday 1st March

The main Monday sessions will run from 10:00-12:00 GMT

The drop-in Friday sessions will run from 10:00-11:00 GMT

Please note:

• Back by popular demand, this Course is a re-run from 2021. Places are therefore limited, and so we do kindly ask you to consider all dates & times before registering.
• For any delegate purchasing a Non-Member ticket: as the Non-Member ticket type is inclusive of PSI Membership through to 31 December 2024, please be advised that it is your individual responsibility to ensure that between registering for this event as a Non-Member, and the event itself, you must not apply or pay for an individual membership of PSI. Similarly, it is your responsibility to ensure that you will not be included in your company's group membership/renewal.
• Membership awarded as part of the Non-Member registration fee is non-refundable, and will not be applied until after the first session.