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.
This is an interactive online training workshop providing an in-depth review of the estimand framework as laid out by ICH E9(R1) addendum with inputs from estimand experts, case studies, quizzes and opportunity for discussions. You will develop an estimand in a therapeutic area of interest to your company. In an online break-out room, you will join a series of team discussions to implement the estimand framework in a case study, aligning estimands, design, conduct, analysis, (assumptions + sensitivity analyses) to the clinical objective and therapeutic setting.
Webinar dedicated to the topic of dissolution of oral solid dosage forms; opportunity to hear from statisticians working in the CMC field, with open question and answers. In addition, the CMC Statistical Network Europe special interest group will discuss advocacy opportunities, have your say to contribute to the future direction.
Initially a brief introduction to AI will be given, followed by a presentation of various applications in medicinal product lifecycle. Several aspects will be discussed including performance, theoretical and practical conditions and also regulatory guidelines.
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.
Who is this event intended for? Statisticians with an interest understanding dose-finding in oncology. What is the benefit of attending? Learn about the state of oncology dose finding, particularly in light of current FDA guidance.
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 networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
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 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.
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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