Date: Monday 4th, Wednesday 6th & Friday 8th July 2022 Time:4th 09:30-12:00, 6th&8th10:00-12:00 BST Location: This course will take place online. Presenter: Andy Grieve (UCB)
Who is this event intended for? Statisticians working on the design of clinical trials. What is the benefit of attending? Participants will learn how to use Expected Power, Average Power, Predicted Power, Probability of Success and Assurance, and Bayesian Power when planning clinical trials.
Course Cost
Early Bird Members = £250+VAT Early Bird Non-Members = £375*+VAT
Regular Members = £290+VAT Regular Non-Members = £415*+VAT
*Please note: Non-Member rates include PSI membership until 31 Dec. 2022.
Registration
Due to the popularity of this Training Course, we are delighted to announce that we have added a further 20 places to access the recorded sessions only, for a period of one month. Delegates who purchase these tickets will not be able to participate in the live sessions* with our presenter, but will receive a link to view the recorded sessions later on that same day.
*Due to a lack of access to the live sessions, the recording-only tickets are offered at a reduced price to reflect this: Member RECORDED SESSIONS ONLY = £200+VAT Non-Member RECORDED SESSIONS ONLY = £325+VAT
To secure your access to this Course, please click here to register.
Overview
For the most part the planning of clinical trials is based on considerations of the power of a test of a given alternative hypothesis based on ideas introduced by Neyman and Pearson in 1933. As early as 1939, Jeffreys pointed out that if the true value was unknown, so was the power. Jeffreys suggested that to understand the true power of a study the conditional power values should be averaged with respect to their prior probabilities, an unconditional power. This idea was taken up in the 1980’s by Spiegelhalter and colleagues and in the early 2000s by O’Hagan and Stevens who introduced the concept of assurance. All of this work uses unconditional as opposed to conditional probabilities.
The course is based on a book with the same title in the Chapman Hall/CRC Biostatistics Series to appear in May 2022. All participants for this course will receive a copy of the book.
Topics covered include:
• Expected Power, Average Power (AP), Predicted Power, Probability of Success and Assurance for a Simple Normal Model with Known Variance
Bounds on AP and Assurance
Sample Size for a Given AP/Assurance and Normalized Assurance.
Applying Assurance to a Series of Studies
Assurance for a Clinical Trial with a Single Interim Analysis
Non-Inferiority Trials
• AP in Non-Normal Settings – Unknown variance, Binary Data, Survival Analysis
• Bayesian Power (BP)
Bounds on BP
Sample Size for a Given BP/Normalized BP
Posterior Conditional Success Distributions
Prior Distributions for Power and sample Size
• Interim Predictions and Links to AP
• AP with Multiple Decision Criteria – Normal Model with Known Variance
Bounds on AP and Assurance
Generalized Assurance
Bayesian Approach to Multiple Decision Criteria.
Posterior Conditional GO/NOGO/Pause/Distributions
• Surety and Assurance in Estimation
An Alternative to Power in sample Size Determination
Unconditional Sample Sizing Based on CI width
Dates & Times
Session 1:- Monday 4th July | 09:30-12:00 Session 2:- Wednesday 6th July | 10:00-12:00 Session 3:- Friday 8th July | 10:00-12:00
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: Hybrid Frequentist / Bayesian Power and Bayesian Power in Planning Clinical Trials
Date: Monday 4th, Wednesday 6th & Friday 8th July 2022 Time:4th 09:30-12:00, 6th&8th10:00-12:00 BST Location: This course will take place online. Presenter: Andy Grieve (UCB)
Who is this event intended for? Statisticians working on the design of clinical trials. What is the benefit of attending? Participants will learn how to use Expected Power, Average Power, Predicted Power, Probability of Success and Assurance, and Bayesian Power when planning clinical trials.
Course Cost
Early Bird Members = £250+VAT Early Bird Non-Members = £375*+VAT
Regular Members = £290+VAT Regular Non-Members = £415*+VAT
*Please note: Non-Member rates include PSI membership until 31 Dec. 2022.
Registration
Due to the popularity of this Training Course, we are delighted to announce that we have added a further 20 places to access the recorded sessions only, for a period of one month. Delegates who purchase these tickets will not be able to participate in the live sessions* with our presenter, but will receive a link to view the recorded sessions later on that same day.
*Due to a lack of access to the live sessions, the recording-only tickets are offered at a reduced price to reflect this: Member RECORDED SESSIONS ONLY = £200+VAT Non-Member RECORDED SESSIONS ONLY = £325+VAT
To secure your access to this Course, please click here to register.
Overview
For the most part the planning of clinical trials is based on considerations of the power of a test of a given alternative hypothesis based on ideas introduced by Neyman and Pearson in 1933. As early as 1939, Jeffreys pointed out that if the true value was unknown, so was the power. Jeffreys suggested that to understand the true power of a study the conditional power values should be averaged with respect to their prior probabilities, an unconditional power. This idea was taken up in the 1980’s by Spiegelhalter and colleagues and in the early 2000s by O’Hagan and Stevens who introduced the concept of assurance. All of this work uses unconditional as opposed to conditional probabilities.
The course is based on a book with the same title in the Chapman Hall/CRC Biostatistics Series to appear in May 2022. All participants for this course will receive a copy of the book.
Topics covered include:
• Expected Power, Average Power (AP), Predicted Power, Probability of Success and Assurance for a Simple Normal Model with Known Variance
Bounds on AP and Assurance
Sample Size for a Given AP/Assurance and Normalized Assurance.
Applying Assurance to a Series of Studies
Assurance for a Clinical Trial with a Single Interim Analysis
Non-Inferiority Trials
• AP in Non-Normal Settings – Unknown variance, Binary Data, Survival Analysis
• Bayesian Power (BP)
Bounds on BP
Sample Size for a Given BP/Normalized BP
Posterior Conditional Success Distributions
Prior Distributions for Power and sample Size
• Interim Predictions and Links to AP
• AP with Multiple Decision Criteria – Normal Model with Known Variance
Bounds on AP and Assurance
Generalized Assurance
Bayesian Approach to Multiple Decision Criteria.
Posterior Conditional GO/NOGO/Pause/Distributions
• Surety and Assurance in Estimation
An Alternative to Power in sample Size Determination
Unconditional Sample Sizing Based on CI width
Dates & Times
Session 1:- Monday 4th July | 09:30-12:00 Session 2:- Wednesday 6th July | 10:00-12:00 Session 3:- Friday 8th July | 10:00-12:00
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: Hybrid Frequentist / Bayesian Power and Bayesian Power in Planning Clinical Trials
Date: Monday 4th, Wednesday 6th & Friday 8th July 2022 Time:4th 09:30-12:00, 6th&8th10:00-12:00 BST Location: This course will take place online. Presenter: Andy Grieve (UCB)
Who is this event intended for? Statisticians working on the design of clinical trials. What is the benefit of attending? Participants will learn how to use Expected Power, Average Power, Predicted Power, Probability of Success and Assurance, and Bayesian Power when planning clinical trials.
Course Cost
Early Bird Members = £250+VAT Early Bird Non-Members = £375*+VAT
Regular Members = £290+VAT Regular Non-Members = £415*+VAT
*Please note: Non-Member rates include PSI membership until 31 Dec. 2022.
Registration
Due to the popularity of this Training Course, we are delighted to announce that we have added a further 20 places to access the recorded sessions only, for a period of one month. Delegates who purchase these tickets will not be able to participate in the live sessions* with our presenter, but will receive a link to view the recorded sessions later on that same day.
*Due to a lack of access to the live sessions, the recording-only tickets are offered at a reduced price to reflect this: Member RECORDED SESSIONS ONLY = £200+VAT Non-Member RECORDED SESSIONS ONLY = £325+VAT
To secure your access to this Course, please click here to register.
Overview
For the most part the planning of clinical trials is based on considerations of the power of a test of a given alternative hypothesis based on ideas introduced by Neyman and Pearson in 1933. As early as 1939, Jeffreys pointed out that if the true value was unknown, so was the power. Jeffreys suggested that to understand the true power of a study the conditional power values should be averaged with respect to their prior probabilities, an unconditional power. This idea was taken up in the 1980’s by Spiegelhalter and colleagues and in the early 2000s by O’Hagan and Stevens who introduced the concept of assurance. All of this work uses unconditional as opposed to conditional probabilities.
The course is based on a book with the same title in the Chapman Hall/CRC Biostatistics Series to appear in May 2022. All participants for this course will receive a copy of the book.
Topics covered include:
• Expected Power, Average Power (AP), Predicted Power, Probability of Success and Assurance for a Simple Normal Model with Known Variance
Bounds on AP and Assurance
Sample Size for a Given AP/Assurance and Normalized Assurance.
Applying Assurance to a Series of Studies
Assurance for a Clinical Trial with a Single Interim Analysis
Non-Inferiority Trials
• AP in Non-Normal Settings – Unknown variance, Binary Data, Survival Analysis
• Bayesian Power (BP)
Bounds on BP
Sample Size for a Given BP/Normalized BP
Posterior Conditional Success Distributions
Prior Distributions for Power and sample Size
• Interim Predictions and Links to AP
• AP with Multiple Decision Criteria – Normal Model with Known Variance
Bounds on AP and Assurance
Generalized Assurance
Bayesian Approach to Multiple Decision Criteria.
Posterior Conditional GO/NOGO/Pause/Distributions
• Surety and Assurance in Estimation
An Alternative to Power in sample Size Determination
Unconditional Sample Sizing Based on CI width
Dates & Times
Session 1:- Monday 4th July | 09:30-12:00 Session 2:- Wednesday 6th July | 10:00-12:00 Session 3:- Friday 8th July | 10:00-12:00
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: Hybrid Frequentist / Bayesian Power and Bayesian Power in Planning Clinical Trials
Date: Monday 4th, Wednesday 6th & Friday 8th July 2022 Time:4th 09:30-12:00, 6th&8th10:00-12:00 BST Location: This course will take place online. Presenter: Andy Grieve (UCB)
Who is this event intended for? Statisticians working on the design of clinical trials. What is the benefit of attending? Participants will learn how to use Expected Power, Average Power, Predicted Power, Probability of Success and Assurance, and Bayesian Power when planning clinical trials.
Course Cost
Early Bird Members = £250+VAT Early Bird Non-Members = £375*+VAT
Regular Members = £290+VAT Regular Non-Members = £415*+VAT
*Please note: Non-Member rates include PSI membership until 31 Dec. 2022.
Registration
Due to the popularity of this Training Course, we are delighted to announce that we have added a further 20 places to access the recorded sessions only, for a period of one month. Delegates who purchase these tickets will not be able to participate in the live sessions* with our presenter, but will receive a link to view the recorded sessions later on that same day.
*Due to a lack of access to the live sessions, the recording-only tickets are offered at a reduced price to reflect this: Member RECORDED SESSIONS ONLY = £200+VAT Non-Member RECORDED SESSIONS ONLY = £325+VAT
To secure your access to this Course, please click here to register.
Overview
For the most part the planning of clinical trials is based on considerations of the power of a test of a given alternative hypothesis based on ideas introduced by Neyman and Pearson in 1933. As early as 1939, Jeffreys pointed out that if the true value was unknown, so was the power. Jeffreys suggested that to understand the true power of a study the conditional power values should be averaged with respect to their prior probabilities, an unconditional power. This idea was taken up in the 1980’s by Spiegelhalter and colleagues and in the early 2000s by O’Hagan and Stevens who introduced the concept of assurance. All of this work uses unconditional as opposed to conditional probabilities.
The course is based on a book with the same title in the Chapman Hall/CRC Biostatistics Series to appear in May 2022. All participants for this course will receive a copy of the book.
Topics covered include:
• Expected Power, Average Power (AP), Predicted Power, Probability of Success and Assurance for a Simple Normal Model with Known Variance
Bounds on AP and Assurance
Sample Size for a Given AP/Assurance and Normalized Assurance.
Applying Assurance to a Series of Studies
Assurance for a Clinical Trial with a Single Interim Analysis
Non-Inferiority Trials
• AP in Non-Normal Settings – Unknown variance, Binary Data, Survival Analysis
• Bayesian Power (BP)
Bounds on BP
Sample Size for a Given BP/Normalized BP
Posterior Conditional Success Distributions
Prior Distributions for Power and sample Size
• Interim Predictions and Links to AP
• AP with Multiple Decision Criteria – Normal Model with Known Variance
Bounds on AP and Assurance
Generalized Assurance
Bayesian Approach to Multiple Decision Criteria.
Posterior Conditional GO/NOGO/Pause/Distributions
• Surety and Assurance in Estimation
An Alternative to Power in sample Size Determination
Unconditional Sample Sizing Based on CI width
Dates & Times
Session 1:- Monday 4th July | 09:30-12:00 Session 2:- Wednesday 6th July | 10:00-12:00 Session 3:- Friday 8th July | 10:00-12:00
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: Hybrid Frequentist / Bayesian Power and Bayesian Power in Planning Clinical Trials
Date: Monday 4th, Wednesday 6th & Friday 8th July 2022 Time:4th 09:30-12:00, 6th&8th10:00-12:00 BST Location: This course will take place online. Presenter: Andy Grieve (UCB)
Who is this event intended for? Statisticians working on the design of clinical trials. What is the benefit of attending? Participants will learn how to use Expected Power, Average Power, Predicted Power, Probability of Success and Assurance, and Bayesian Power when planning clinical trials.
Course Cost
Early Bird Members = £250+VAT Early Bird Non-Members = £375*+VAT
Regular Members = £290+VAT Regular Non-Members = £415*+VAT
*Please note: Non-Member rates include PSI membership until 31 Dec. 2022.
Registration
Due to the popularity of this Training Course, we are delighted to announce that we have added a further 20 places to access the recorded sessions only, for a period of one month. Delegates who purchase these tickets will not be able to participate in the live sessions* with our presenter, but will receive a link to view the recorded sessions later on that same day.
*Due to a lack of access to the live sessions, the recording-only tickets are offered at a reduced price to reflect this: Member RECORDED SESSIONS ONLY = £200+VAT Non-Member RECORDED SESSIONS ONLY = £325+VAT
To secure your access to this Course, please click here to register.
Overview
For the most part the planning of clinical trials is based on considerations of the power of a test of a given alternative hypothesis based on ideas introduced by Neyman and Pearson in 1933. As early as 1939, Jeffreys pointed out that if the true value was unknown, so was the power. Jeffreys suggested that to understand the true power of a study the conditional power values should be averaged with respect to their prior probabilities, an unconditional power. This idea was taken up in the 1980’s by Spiegelhalter and colleagues and in the early 2000s by O’Hagan and Stevens who introduced the concept of assurance. All of this work uses unconditional as opposed to conditional probabilities.
The course is based on a book with the same title in the Chapman Hall/CRC Biostatistics Series to appear in May 2022. All participants for this course will receive a copy of the book.
Topics covered include:
• Expected Power, Average Power (AP), Predicted Power, Probability of Success and Assurance for a Simple Normal Model with Known Variance
Bounds on AP and Assurance
Sample Size for a Given AP/Assurance and Normalized Assurance.
Applying Assurance to a Series of Studies
Assurance for a Clinical Trial with a Single Interim Analysis
Non-Inferiority Trials
• AP in Non-Normal Settings – Unknown variance, Binary Data, Survival Analysis
• Bayesian Power (BP)
Bounds on BP
Sample Size for a Given BP/Normalized BP
Posterior Conditional Success Distributions
Prior Distributions for Power and sample Size
• Interim Predictions and Links to AP
• AP with Multiple Decision Criteria – Normal Model with Known Variance
Bounds on AP and Assurance
Generalized Assurance
Bayesian Approach to Multiple Decision Criteria.
Posterior Conditional GO/NOGO/Pause/Distributions
• Surety and Assurance in Estimation
An Alternative to Power in sample Size Determination
Unconditional Sample Sizing Based on CI width
Dates & Times
Session 1:- Monday 4th July | 09:30-12:00 Session 2:- Wednesday 6th July | 10:00-12:00 Session 3:- Friday 8th July | 10:00-12:00
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: Hybrid Frequentist / Bayesian Power and Bayesian Power in Planning Clinical Trials
Date: Monday 4th, Wednesday 6th & Friday 8th July 2022 Time:4th 09:30-12:00, 6th&8th10:00-12:00 BST Location: This course will take place online. Presenter: Andy Grieve (UCB)
Who is this event intended for? Statisticians working on the design of clinical trials. What is the benefit of attending? Participants will learn how to use Expected Power, Average Power, Predicted Power, Probability of Success and Assurance, and Bayesian Power when planning clinical trials.
Course Cost
Early Bird Members = £250+VAT Early Bird Non-Members = £375*+VAT
Regular Members = £290+VAT Regular Non-Members = £415*+VAT
*Please note: Non-Member rates include PSI membership until 31 Dec. 2022.
Registration
Due to the popularity of this Training Course, we are delighted to announce that we have added a further 20 places to access the recorded sessions only, for a period of one month. Delegates who purchase these tickets will not be able to participate in the live sessions* with our presenter, but will receive a link to view the recorded sessions later on that same day.
*Due to a lack of access to the live sessions, the recording-only tickets are offered at a reduced price to reflect this: Member RECORDED SESSIONS ONLY = £200+VAT Non-Member RECORDED SESSIONS ONLY = £325+VAT
To secure your access to this Course, please click here to register.
Overview
For the most part the planning of clinical trials is based on considerations of the power of a test of a given alternative hypothesis based on ideas introduced by Neyman and Pearson in 1933. As early as 1939, Jeffreys pointed out that if the true value was unknown, so was the power. Jeffreys suggested that to understand the true power of a study the conditional power values should be averaged with respect to their prior probabilities, an unconditional power. This idea was taken up in the 1980’s by Spiegelhalter and colleagues and in the early 2000s by O’Hagan and Stevens who introduced the concept of assurance. All of this work uses unconditional as opposed to conditional probabilities.
The course is based on a book with the same title in the Chapman Hall/CRC Biostatistics Series to appear in May 2022. All participants for this course will receive a copy of the book.
Topics covered include:
• Expected Power, Average Power (AP), Predicted Power, Probability of Success and Assurance for a Simple Normal Model with Known Variance
Bounds on AP and Assurance
Sample Size for a Given AP/Assurance and Normalized Assurance.
Applying Assurance to a Series of Studies
Assurance for a Clinical Trial with a Single Interim Analysis
Non-Inferiority Trials
• AP in Non-Normal Settings – Unknown variance, Binary Data, Survival Analysis
• Bayesian Power (BP)
Bounds on BP
Sample Size for a Given BP/Normalized BP
Posterior Conditional Success Distributions
Prior Distributions for Power and sample Size
• Interim Predictions and Links to AP
• AP with Multiple Decision Criteria – Normal Model with Known Variance
Bounds on AP and Assurance
Generalized Assurance
Bayesian Approach to Multiple Decision Criteria.
Posterior Conditional GO/NOGO/Pause/Distributions
• Surety and Assurance in Estimation
An Alternative to Power in sample Size Determination
Unconditional Sample Sizing Based on CI width
Dates & Times
Session 1:- Monday 4th July | 09:30-12:00 Session 2:- Wednesday 6th July | 10:00-12:00 Session 3:- Friday 8th July | 10:00-12:00
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
PSI Introduction to Industry Training (ITIT) Course - 2025/2026
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.
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.
PSI Book Club Webinar: Atomic Habits - The Science of Getting Your Act Together
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.
PSI Webinar: Methods and tools integrating clinical trial evidence with historical or real-world data, Bayesian borrowing, and causal inference
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.
PSI Webinar: Applying the Estimand Framework to Clinical Pharmacology Trials with a Case Study in Bioequivalance
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.
PSI Webinar: Methodology and first results of the iRISE (improving Reproducibility In SciencE) consortium
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.
One-day Event: Change Management for Moving to R/Open-Source
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.
PSI Book Club - The Art of Explanation: How to Communicate with Clarity and Confidence
Develop your non-technical skills by reading The Art of Explanation by Ros Atkins and joining the Sept-Dec 2025 book club. You will be invited to join facilitated discussions of the concepts and ideas and apply skills from the book in-between sessions.
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.
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.
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Session
Cookie generated by applications based on the PHP language. This is a general purpose identifier used to maintain user session variables. It is normally a random generated number, how it is used can be specific to the site, but a good example is maintaining a logged-in status for a user between pages.
Used by CookieHub to store information about whether visitors have given or declined the use of cookie categories used on the site.
Preferences
Preference cookies enables the web site to remember information to customize how the web site looks or behaves for each user. This may include storing selected currency, region, language or color theme.
Preferences
Name
Hostname
Vendor
Expiry
vuid
.vimeo.com
400 days
These cookies are used by the Vimeo video player on websites.
AWSALBCORS
psi.glueup.com
7 days
Amazon Web Services cookie. This cookie enables us to allocate server traffic to make the user experience as smooth as possible. A so-called load balancer is used to determine which server currently has the best availability. The information generated cannot identify you as an individual.
Analytical cookies
Analytical cookies help us improve our website by collecting and reporting information on its usage.