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 Training Course: Effective Leadership – the keys to growing your leadership capabilities
This course will consist of three online half-day workshops. The first will be aimed at building trust, the backbone of leadership and a key to becoming effective. This is key to building a solid foundation.
The second will be on improving communication as a technical leader. This workshop will focus on communication strategies for different stakeholders and will involve tips on effective communication and how to develop the skills of active listening, coaching and what improv can teach us about good communication.
The final workshop will bring these two components together to help leaders become more influential. This will also focus on how to use Steven Covey’s 7-Habits, in particular Habits 4, 5 and 6, which are called the habits of communication.
The workshops will be interactive, allowing you to practice the concepts discussed. There will be plenty of time for questions and discussion. There will also be reflective time where you can think about what you are learning and how you might experiment with it.
PSI Introduction to Industry Training (ITIT) Course - 2026/2027
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.
This webinar brings together three bitesize complementary sessions to help PSI contributors create conference presentations and posters that communicate clearly and inclusively. Participants will explore how to refine their message, prepare materials effectively, and adopt practical habits that support confident, accessible delivery. A focused, supportive session designed to elevate every contribution.
Our monthly webinar series allows attendees to gain practical knowledge and skills in open-source coding and tools, with a focus on applications in the pharmaceutical industry. This month’s session, “Graphics Basics,” will introduce the fundamentals of producing graphics using the ggplot2 package.
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.
Join our Health Technology Assessment (HTA) European Special Interest Group (ESIG) for a webinar on the strategic role of statisticians in the Joint Clinical Assessment (JCA). The introduction of the JCA marks a new era for evidence generation and market access in Europe. As HTA requirements become more harmonized and methodologically demanding, the role of statisticians has evolved far beyond data analysis. Today, statistical expertise is central to shaping clinical development strategies, designing robust comparative evidence, and ensuring that submissions withstand the scrutiny of EU-level assessors. In this webinar, we explore how statisticians contribute strategically to successful JCA outcomes.
Statisticians in the Age of AI: On Route to Strategic Partnership
A 90-minute webinar featuring two case studies from Bayer and Roche demonstrating how statisticians successfully integrated into AI programs, followed by interactive discussion on strategies for elevating statistical expertise in the AI era.
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.
GSK - Statistics Director - Vaccines and Infectious Disease
We are seeking an experienced and visionary Statistics Director to join our Team and lead strategic statistical innovation across GSK’s Vaccines and Infectious Disease portfolio.
As a Senior Biostatistician I at ICON, you will play a pivotal role in designing and analyzing clinical trials, interpreting complex medical data, and contributing to the advancement of innovative treatments and therapies.
As a Statistical Scientist at ICON, you will play a pivotal role in designing and analyzing clinical trials, interpreting complex medical data, and contributing to the advancement of innovative treatments and therapies.
We have an exciting opportunity for an Associate Director, Biostatistics to join a passionate team within Advanced Quantitative Sciences – Full Development.
: We have an exciting opportunity for an Associate Director (AD), Statistical Programming, to join a passionate team within Advanced Quantitative Sciences- Development.
Novartis - Senior Principal Statistical Programmer
We have an exciting opportunity for a Senior Principal Statistical Programmer, to join a passionate team within Advanced Quantitative Sciences – Development.
Pierre Fabre - Clinical Development Safety Statistics Expert M/F
We are seeking a highly skilled and proactive Clinical Development Safety Statistics Expert to join our Biometry Department and the Biometry Leadership Team based in Toulouse (31, Oncopole) or Boulogne (92).
Pierre Fabre - Lead Statistician – Real World Evidence -CDI- M/F
Pierre Fabre Laboratories are hiring a highly skilled and experienced Lead Statistician – Real World Evidence (RWE) to join the Biometry Department, part of the Data Science & Biometry Department, based in Toulouse (Oncopôle) or Boulogne.
Pierre Fabre - Lead Statistician- Clinical Trials M/F
We are seeking a highly skilled and experienced Lead Statistician in Clinical Trials to join our Biometry Department based in Toulouse (31, Oncopole) or Boulogne (92).
We are looking for Senior Statistical Programmers in the UK to join Veramed, where you'll deliver high-impact programming solutions in an FSP-style capacity, while advancing your career in a supportive, growth-driven environment.
