Date: Monday 1st November - Tuesday 30th November 2021 [set days] Time: 09:45 - 12:00 [on set session days] Presenter: Andy Nicholls (GSK) Important: Please note, this is a 5-week virtual course.
Who is this event intended for? This interactive 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; produce R graphics with ggplot2; and perform & interpret statistical analyses in R.
Course cost
NB: This course has Earlybird rates available. These are valid for bookings on or before 17:00 on 1st October only. Earlybird Members = £320+VAT Earlybird Non-Members = £445*+VAT Regular Members = £360+VAT Regular Non-Members = £485*+VAT
*Please note: Non-Member rates include membership for the rest of 2021, and the entirety of the 2022 calendar year.
Registration
To book your space, please click here. Please note: There are a limited number of places available for this course, which are in high-demand. Before securing your place, please ensure you will be able to attend one of the sessions each week - dates can be found below.
Overview
This course consists of 5 x 2-hour training sessions run over 5 weeks.
Each session will be repeated on two mornings per week (09:45am – 12:00pm), so attendees are able to pick which day they attend each week, out of the dates provided.
Session 1: Monday 1st November or Tuesday 2nd November Session 2: Monday 8th November or Tuesday 9th November Session 3: Monday 15th November or Tuesday 16th November Session 4: Monday 22nd November or Tuesday23rd November Session 5: Monday 29th November or Tuesday30th November
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
a. Layering
b. Aesthetics and groups
c. Graph types: geoms
d. Panelling: faceting
e. Themes and styling
Please click here to view the flyer for this event.
Disclaimer
PSI is a non-profit organisation run by volunteers. Many of the event organisers and presenters donate their time, while the majority of the event registration cost is spent on administrative support, venue rental / online conferencing, travel costs for the presenter, software licences, and general running of the society. PSI strives to offer high quality courses, but cannot offer a guarantee that the content presented is accurate or fit for your particular needs. Please check if any software is required for this course and ensure you are able to run it prior to registering.
Cancellation and Moderation Terms For cancellations received up to two weeks prior to a PSI event start-date, the event registration fee will be refunded less 25% administrative charge. After this date, no refunds will be possible. A handling fee of 20 GBP per registration will be charged for every registration modification received two weeks prior or less, including a delegate name change.
Scientific Meetings
PSI Training Course: R for Clinical Trial Statisticians
Date: Monday 1st November - Tuesday 30th November 2021 [set days] Time: 09:45 - 12:00 [on set session days] Presenter: Andy Nicholls (GSK) Important: Please note, this is a 5-week virtual course.
Who is this event intended for? This interactive 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; produce R graphics with ggplot2; and perform & interpret statistical analyses in R.
Course cost
NB: This course has Earlybird rates available. These are valid for bookings on or before 17:00 on 1st October only. Earlybird Members = £320+VAT Earlybird Non-Members = £445*+VAT Regular Members = £360+VAT Regular Non-Members = £485*+VAT
*Please note: Non-Member rates include membership for the rest of 2021, and the entirety of the 2022 calendar year.
Registration
To book your space, please click here. Please note: There are a limited number of places available for this course, which are in high-demand. Before securing your place, please ensure you will be able to attend one of the sessions each week - dates can be found below.
Overview
This course consists of 5 x 2-hour training sessions run over 5 weeks.
Each session will be repeated on two mornings per week (09:45am – 12:00pm), so attendees are able to pick which day they attend each week, out of the dates provided.
Session 1: Monday 1st November or Tuesday 2nd November Session 2: Monday 8th November or Tuesday 9th November Session 3: Monday 15th November or Tuesday 16th November Session 4: Monday 22nd November or Tuesday23rd November Session 5: Monday 29th November or Tuesday30th November
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
a. Layering
b. Aesthetics and groups
c. Graph types: geoms
d. Panelling: faceting
e. Themes and styling
Please click here to view the flyer for this event.
Disclaimer
PSI is a non-profit organisation run by volunteers. Many of the event organisers and presenters donate their time, while the majority of the event registration cost is spent on administrative support, venue rental / online conferencing, travel costs for the presenter, software licences, and general running of the society. PSI strives to offer high quality courses, but cannot offer a guarantee that the content presented is accurate or fit for your particular needs. Please check if any software is required for this course and ensure you are able to run it prior to registering.
Cancellation and Moderation Terms For cancellations received up to two weeks prior to a PSI event start-date, the event registration fee will be refunded less 25% administrative charge. After this date, no refunds will be possible. A handling fee of 20 GBP per registration will be charged for every registration modification received two weeks prior or less, including a delegate name change.
Training Courses
PSI Training Course: R for Clinical Trial Statisticians
Date: Monday 1st November - Tuesday 30th November 2021 [set days] Time: 09:45 - 12:00 [on set session days] Presenter: Andy Nicholls (GSK) Important: Please note, this is a 5-week virtual course.
Who is this event intended for? This interactive 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; produce R graphics with ggplot2; and perform & interpret statistical analyses in R.
Course cost
NB: This course has Earlybird rates available. These are valid for bookings on or before 17:00 on 1st October only. Earlybird Members = £320+VAT Earlybird Non-Members = £445*+VAT Regular Members = £360+VAT Regular Non-Members = £485*+VAT
*Please note: Non-Member rates include membership for the rest of 2021, and the entirety of the 2022 calendar year.
Registration
To book your space, please click here. Please note: There are a limited number of places available for this course, which are in high-demand. Before securing your place, please ensure you will be able to attend one of the sessions each week - dates can be found below.
Overview
This course consists of 5 x 2-hour training sessions run over 5 weeks.
Each session will be repeated on two mornings per week (09:45am – 12:00pm), so attendees are able to pick which day they attend each week, out of the dates provided.
Session 1: Monday 1st November or Tuesday 2nd November Session 2: Monday 8th November or Tuesday 9th November Session 3: Monday 15th November or Tuesday 16th November Session 4: Monday 22nd November or Tuesday23rd November Session 5: Monday 29th November or Tuesday30th November
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
a. Layering
b. Aesthetics and groups
c. Graph types: geoms
d. Panelling: faceting
e. Themes and styling
Please click here to view the flyer for this event.
Disclaimer
PSI is a non-profit organisation run by volunteers. Many of the event organisers and presenters donate their time, while the majority of the event registration cost is spent on administrative support, venue rental / online conferencing, travel costs for the presenter, software licences, and general running of the society. PSI strives to offer high quality courses, but cannot offer a guarantee that the content presented is accurate or fit for your particular needs. Please check if any software is required for this course and ensure you are able to run it prior to registering.
Cancellation and Moderation Terms For cancellations received up to two weeks prior to a PSI event start-date, the event registration fee will be refunded less 25% administrative charge. After this date, no refunds will be possible. A handling fee of 20 GBP per registration will be charged for every registration modification received two weeks prior or less, including a delegate name change.
Journal Club
PSI Training Course: R for Clinical Trial Statisticians
Date: Monday 1st November - Tuesday 30th November 2021 [set days] Time: 09:45 - 12:00 [on set session days] Presenter: Andy Nicholls (GSK) Important: Please note, this is a 5-week virtual course.
Who is this event intended for? This interactive 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; produce R graphics with ggplot2; and perform & interpret statistical analyses in R.
Course cost
NB: This course has Earlybird rates available. These are valid for bookings on or before 17:00 on 1st October only. Earlybird Members = £320+VAT Earlybird Non-Members = £445*+VAT Regular Members = £360+VAT Regular Non-Members = £485*+VAT
*Please note: Non-Member rates include membership for the rest of 2021, and the entirety of the 2022 calendar year.
Registration
To book your space, please click here. Please note: There are a limited number of places available for this course, which are in high-demand. Before securing your place, please ensure you will be able to attend one of the sessions each week - dates can be found below.
Overview
This course consists of 5 x 2-hour training sessions run over 5 weeks.
Each session will be repeated on two mornings per week (09:45am – 12:00pm), so attendees are able to pick which day they attend each week, out of the dates provided.
Session 1: Monday 1st November or Tuesday 2nd November Session 2: Monday 8th November or Tuesday 9th November Session 3: Monday 15th November or Tuesday 16th November Session 4: Monday 22nd November or Tuesday23rd November Session 5: Monday 29th November or Tuesday30th November
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
a. Layering
b. Aesthetics and groups
c. Graph types: geoms
d. Panelling: faceting
e. Themes and styling
Please click here to view the flyer for this event.
Disclaimer
PSI is a non-profit organisation run by volunteers. Many of the event organisers and presenters donate their time, while the majority of the event registration cost is spent on administrative support, venue rental / online conferencing, travel costs for the presenter, software licences, and general running of the society. PSI strives to offer high quality courses, but cannot offer a guarantee that the content presented is accurate or fit for your particular needs. Please check if any software is required for this course and ensure you are able to run it prior to registering.
Cancellation and Moderation Terms For cancellations received up to two weeks prior to a PSI event start-date, the event registration fee will be refunded less 25% administrative charge. After this date, no refunds will be possible. A handling fee of 20 GBP per registration will be charged for every registration modification received two weeks prior or less, including a delegate name change.
Webinars
PSI Training Course: R for Clinical Trial Statisticians
Date: Monday 1st November - Tuesday 30th November 2021 [set days] Time: 09:45 - 12:00 [on set session days] Presenter: Andy Nicholls (GSK) Important: Please note, this is a 5-week virtual course.
Who is this event intended for? This interactive 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; produce R graphics with ggplot2; and perform & interpret statistical analyses in R.
Course cost
NB: This course has Earlybird rates available. These are valid for bookings on or before 17:00 on 1st October only. Earlybird Members = £320+VAT Earlybird Non-Members = £445*+VAT Regular Members = £360+VAT Regular Non-Members = £485*+VAT
*Please note: Non-Member rates include membership for the rest of 2021, and the entirety of the 2022 calendar year.
Registration
To book your space, please click here. Please note: There are a limited number of places available for this course, which are in high-demand. Before securing your place, please ensure you will be able to attend one of the sessions each week - dates can be found below.
Overview
This course consists of 5 x 2-hour training sessions run over 5 weeks.
Each session will be repeated on two mornings per week (09:45am – 12:00pm), so attendees are able to pick which day they attend each week, out of the dates provided.
Session 1: Monday 1st November or Tuesday 2nd November Session 2: Monday 8th November or Tuesday 9th November Session 3: Monday 15th November or Tuesday 16th November Session 4: Monday 22nd November or Tuesday23rd November Session 5: Monday 29th November or Tuesday30th November
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
a. Layering
b. Aesthetics and groups
c. Graph types: geoms
d. Panelling: faceting
e. Themes and styling
Please click here to view the flyer for this event.
Disclaimer
PSI is a non-profit organisation run by volunteers. Many of the event organisers and presenters donate their time, while the majority of the event registration cost is spent on administrative support, venue rental / online conferencing, travel costs for the presenter, software licences, and general running of the society. PSI strives to offer high quality courses, but cannot offer a guarantee that the content presented is accurate or fit for your particular needs. Please check if any software is required for this course and ensure you are able to run it prior to registering.
Cancellation and Moderation Terms For cancellations received up to two weeks prior to a PSI event start-date, the event registration fee will be refunded less 25% administrative charge. After this date, no refunds will be possible. A handling fee of 20 GBP per registration will be charged for every registration modification received two weeks prior or less, including a delegate name change.
Careers Meetings
PSI Training Course: R for Clinical Trial Statisticians
Date: Monday 1st November - Tuesday 30th November 2021 [set days] Time: 09:45 - 12:00 [on set session days] Presenter: Andy Nicholls (GSK) Important: Please note, this is a 5-week virtual course.
Who is this event intended for? This interactive 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; produce R graphics with ggplot2; and perform & interpret statistical analyses in R.
Course cost
NB: This course has Earlybird rates available. These are valid for bookings on or before 17:00 on 1st October only. Earlybird Members = £320+VAT Earlybird Non-Members = £445*+VAT Regular Members = £360+VAT Regular Non-Members = £485*+VAT
*Please note: Non-Member rates include membership for the rest of 2021, and the entirety of the 2022 calendar year.
Registration
To book your space, please click here. Please note: There are a limited number of places available for this course, which are in high-demand. Before securing your place, please ensure you will be able to attend one of the sessions each week - dates can be found below.
Overview
This course consists of 5 x 2-hour training sessions run over 5 weeks.
Each session will be repeated on two mornings per week (09:45am – 12:00pm), so attendees are able to pick which day they attend each week, out of the dates provided.
Session 1: Monday 1st November or Tuesday 2nd November Session 2: Monday 8th November or Tuesday 9th November Session 3: Monday 15th November or Tuesday 16th November Session 4: Monday 22nd November or Tuesday23rd November Session 5: Monday 29th November or Tuesday30th November
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
a. Layering
b. Aesthetics and groups
c. Graph types: geoms
d. Panelling: faceting
e. Themes and styling
Please click here to view the flyer for this event.
Disclaimer
PSI is a non-profit organisation run by volunteers. Many of the event organisers and presenters donate their time, while the majority of the event registration cost is spent on administrative support, venue rental / online conferencing, travel costs for the presenter, software licences, and general running of the society. PSI strives to offer high quality courses, but cannot offer a guarantee that the content presented is accurate or fit for your particular needs. Please check if any software is required for this course and ensure you are able to run it prior to registering.
Cancellation and Moderation Terms For cancellations received up to two weeks prior to a PSI event start-date, the event registration fee will be refunded less 25% administrative charge. After this date, no refunds will be possible. A handling fee of 20 GBP per registration will be charged for every registration modification received two weeks prior or less, including a delegate name change.
Upcoming Events
Joint PSI/EFSPI Visualisation SIG 'Wonderful Wednesday' Webinars
Our monthly webinar explores examples of innovative data visualisations relevant to our day to day work. Each month a new dataset is provided from a clinical trial or other relevant example, and participants are invited to submit a graphic that communicates interesting and relevant characteristics of the data.
Topic: R Package Basics.
Our monthly webinar series allows attendees to gain practical knowledge and skills in open-source coding and tools, with a focus on applications in the pharmaceutical industry. This month’s session, “R Package Basics,” will introduce the fundamentals of working with R packages—covering how to install, load, and manage them effectively to support data analysis and reproducible research. The session will provide a solid starting point, clarify common misconceptions, and offer valuable resources for continued learning.
Date: Ongoing 6 month cycle beginning late April/early May 2026
Are you a member of PSI looking to further your career or help develop others - why not sign up to the PSI Mentoring scheme? You can expand your network, improve your leadership skills and learn from more senior colleagues in the industry.
PSI Book Club Lunch and Learn: Communicating with Clarity and Confidence
If you have read Ros Atkins’ book The Art of Explanation or want to listen to the BBC’s ‘Communicator in Chief’, you are invited to join the PSI Book Club Lunch and Learn, to discuss the content and application with the author, Ros Atkins. Having written the book within the context of the news industry, Ros is keen to hear how we have applied the ideas as statisticians within drug development and clinical trials. There will be dedicated time during the webinar to ASK THE AUTHOR any questions – don’t miss out on this exclusive PSI Book Club event!
Haven’t read the book yet? Pick up a copy today and join us.
Explanation - identifying and communicating what we want to say - is described as an art, in the title of his book. However, the creativity comes from Ros’ discernment in identifying and describing a clear step-by-step process to follow and practice. Readers can learn Ros’ rules, developed and polished throughout his career as a journalist, to help communicate complex written or spoken information clearly.
PSI Training Course: Effective Leadership – the keys to growing your leadership capabilities
This course will consist of three online half-day workshops. The first will be aimed at building trust, the backbone of leadership and a key to becoming effective. This is key to building a solid foundation.
The second will be on improving communication as a technical leader. This workshop will focus on communication strategies for different stakeholders and will involve tips on effective communication and how to develop the skills of active listening, coaching and what improv can teach us about good communication.
The final workshop will bring these two components together to help leaders become more influential. This will also focus on how to use Steven Covey’s 7-Habits, in particular Habits 4, 5 and 6, which are called the habits of communication.
The workshops will be interactive, allowing you to practice the concepts discussed. There will be plenty of time for questions and discussion. There will also be reflective time where you can think about what you are learning and how you might experiment with it.