Date: Monday 17th May - Tuesday 15th June 2021 [set days] Time: 09:45 - 12:00 [on set session days] Presenters: Alanah Jonas, Andy Nicholls, Christina Fillmore, Eleni Kleanthous, Pavan Kumar, Tulasi Marrapu (all from GSK) Important: Please note, this is a 5-week virtual course.
Who is this event intended for? Statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R.
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 19th April only. Earlybird Members = £300+VAT Earlybird Non-Members = £395+VAT* Regular Members = £340+VAT Regular Non-Members = £435+VAT*
*Please note: Non-Member rates include membership for the rest of the 2021 calendar year.
Registration
Registration for this event is now full.
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 17th May or Tuesday 18th May Session 2: Monday 24th May or Tuesday 25th May Session 3: Tuesday 1st June or Wednesday 2nd June Session 4: Monday 7th June or Tuesday 8th June Session 5: Monday 14th June or Tuesday 15th June
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 statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R.
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.
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 17th May - Tuesday 15th June 2021 [set days] Time: 09:45 - 12:00 [on set session days] Presenters: Alanah Jonas, Andy Nicholls, Christina Fillmore, Eleni Kleanthous, Pavan Kumar, Tulasi Marrapu (all from GSK) Important: Please note, this is a 5-week virtual course.
Who is this event intended for? Statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R.
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 19th April only. Earlybird Members = £300+VAT Earlybird Non-Members = £395+VAT* Regular Members = £340+VAT Regular Non-Members = £435+VAT*
*Please note: Non-Member rates include membership for the rest of the 2021 calendar year.
Registration
Registration for this event is now full.
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 17th May or Tuesday 18th May Session 2: Monday 24th May or Tuesday 25th May Session 3: Tuesday 1st June or Wednesday 2nd June Session 4: Monday 7th June or Tuesday 8th June Session 5: Monday 14th June or Tuesday 15th June
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 statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R.
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.
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 17th May - Tuesday 15th June 2021 [set days] Time: 09:45 - 12:00 [on set session days] Presenters: Alanah Jonas, Andy Nicholls, Christina Fillmore, Eleni Kleanthous, Pavan Kumar, Tulasi Marrapu (all from GSK) Important: Please note, this is a 5-week virtual course.
Who is this event intended for? Statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R.
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 19th April only. Earlybird Members = £300+VAT Earlybird Non-Members = £395+VAT* Regular Members = £340+VAT Regular Non-Members = £435+VAT*
*Please note: Non-Member rates include membership for the rest of the 2021 calendar year.
Registration
Registration for this event is now full.
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 17th May or Tuesday 18th May Session 2: Monday 24th May or Tuesday 25th May Session 3: Tuesday 1st June or Wednesday 2nd June Session 4: Monday 7th June or Tuesday 8th June Session 5: Monday 14th June or Tuesday 15th June
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 statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R.
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.
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 17th May - Tuesday 15th June 2021 [set days] Time: 09:45 - 12:00 [on set session days] Presenters: Alanah Jonas, Andy Nicholls, Christina Fillmore, Eleni Kleanthous, Pavan Kumar, Tulasi Marrapu (all from GSK) Important: Please note, this is a 5-week virtual course.
Who is this event intended for? Statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R.
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 19th April only. Earlybird Members = £300+VAT Earlybird Non-Members = £395+VAT* Regular Members = £340+VAT Regular Non-Members = £435+VAT*
*Please note: Non-Member rates include membership for the rest of the 2021 calendar year.
Registration
Registration for this event is now full.
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 17th May or Tuesday 18th May Session 2: Monday 24th May or Tuesday 25th May Session 3: Tuesday 1st June or Wednesday 2nd June Session 4: Monday 7th June or Tuesday 8th June Session 5: Monday 14th June or Tuesday 15th June
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 statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R.
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.
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 17th May - Tuesday 15th June 2021 [set days] Time: 09:45 - 12:00 [on set session days] Presenters: Alanah Jonas, Andy Nicholls, Christina Fillmore, Eleni Kleanthous, Pavan Kumar, Tulasi Marrapu (all from GSK) Important: Please note, this is a 5-week virtual course.
Who is this event intended for? Statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R.
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 19th April only. Earlybird Members = £300+VAT Earlybird Non-Members = £395+VAT* Regular Members = £340+VAT Regular Non-Members = £435+VAT*
*Please note: Non-Member rates include membership for the rest of the 2021 calendar year.
Registration
Registration for this event is now full.
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 17th May or Tuesday 18th May Session 2: Monday 24th May or Tuesday 25th May Session 3: Tuesday 1st June or Wednesday 2nd June Session 4: Monday 7th June or Tuesday 8th June Session 5: Monday 14th June or Tuesday 15th June
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 statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R.
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.
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 17th May - Tuesday 15th June 2021 [set days] Time: 09:45 - 12:00 [on set session days] Presenters: Alanah Jonas, Andy Nicholls, Christina Fillmore, Eleni Kleanthous, Pavan Kumar, Tulasi Marrapu (all from GSK) Important: Please note, this is a 5-week virtual course.
Who is this event intended for? Statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R.
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 19th April only. Earlybird Members = £300+VAT Earlybird Non-Members = £395+VAT* Regular Members = £340+VAT Regular Non-Members = £435+VAT*
*Please note: Non-Member rates include membership for the rest of the 2021 calendar year.
Registration
Registration for this event is now full.
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 17th May or Tuesday 18th May Session 2: Monday 24th May or Tuesday 25th May Session 3: Tuesday 1st June or Wednesday 2nd June Session 4: Monday 7th June or Tuesday 8th June Session 5: Monday 14th June or Tuesday 15th June
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 statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R.
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.
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.
The event will open with an overview on drug development in women’s health from a clinician perspective. This talk is followed by talks about statistical challenges when planning IVF studies and analysing the menstrual cycles.
This webinar will provide an overview of surrogacy for licensing and reimbursement. In turn, the need of extensions of the SPIRIT and CONSORT statement will be defined and outlined, with case studies to support.
Joint PSI/EFSPI Pre-Clinical SIG Webinar: Virtual Control Groups in Toxicity Studies
Lea Vaas will present how replacement of concurrent control animals by Virtual Control Groups (VCGs) in systemic toxicity studies may help in contributing to the 3R's principle of animal experimentation: Reduce, Refine, Replace.
Joint PSI/EFSPI Data Science SIG Webinar: Developing Digital Measures (Digital Biomarkers) in Drug Development – insights from Mobilise D consortium
We will share a brief overview of what Mobilise D is and why it is an important step stone in the development of digital biomarkers, and how Mobilise D outputs can be relevant for you.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
PSI Webinar: Development of Gene Therapies: Strategic, Scientific, Regulatory and Access Considerations
This webinar will cover the history of cell/gene therapy, major regulatory advances, the role of quantitative scientists in drug development of these novel therapeutics, and discuss opportunities for innovation and product advancement.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
PSI Introduction to Industry Training (ITIT) Course - 2024/2025
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 networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
Statisticians in the Pharmaceutical Industry Executive Office: c/o MCI UK Ltd | Unit 24/22 South | Building 4000 | Langstone Park| Langstone Road | Havant | PO9 1SA | UK