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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
An introductory course giving an overview of the pharmaceutical industry and the drug development process as a whole, aimed at those with 1-3 years' experience. It comprises of six 2-day sessions covering a range of topics including Research and Development, Toxicology, Data Management and the Role of a CRO, Clinical Trials, Reimbursement, and Marketing.
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.
The book club’s usual focus is to read and discuss professional development books. In this short format event you can more easily develop you career without the commitment of reading the whole book - simply listen to the 1-hour long podcast before joining the interactive session on 21 May.
This webinar is organised by the RWD SIG and the Historical Data SIG. We will review recent methods, applications, and tools of integrating subject-level-data from clinical trial with external data using Bayesian methods and/or causal inference methods.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
This will be a 45 minute webinar which will explain the topic presented in the published paper, ‘Applying the Estimand Framework to Clinical Pharmacology Trials with a Case Study in Bioequivalance’. There will be 15 minutes for a panel Q&A with some of the authors following the presentation.
This 1-hour webinar will be an opportunity to hear about the methodology and first results of the iRISE consortium. iRISE is working towards a better understanding of reproducibility and the interventions that work to improve it. At the end of the presentation there will also be the opportunity to ask questions.
This one-day event focuses on the comprehensive management of transitioning to R/Open-Source, addressing the challenges and providing actionable insights. Attendees will participate in sessions covering essential topics such as training best practices, creating strategic plans, making the case to senior management, and managing both statistical and programming aspects of the transition.
This course is aimed at biostatisticians with no or some pediatric drug development experience who are interested to further their understanding. We will give you an introduction to the pediatric drug development landscape. This will include identifying the key regulations and processes governing pediatric development, a discussion on the needs and challenges when conducting pediatric research and a focus on the ways to overcome these challenges from a statistical perspective.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
The program will feature insightful sessions led by distinguished invited speakers, alongside a poster session showcasing the latest advancements in the field. Further details will be provided.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
The Institute of Cancer Research are seeking to appoint a Research Group Leader to join The CRUK Clinical Trials and Statistics Unit at the ICR.
This is an exciting, new opportunity for an experienced Statistician looking to take the next step in their career. Offered as a remote or hybrid position aligned with our site in Harrogate, North Yorkshire.
The BioMarin internship programme will enable students to gain valuable experience and knowledge of the processes and systems within BioMarin, whilst gaining an insight into the pharmaceutical/biotech industry.
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