Join us in our discussion on survival analysis method with focus on the application of two Bayesian methods for time to event data at 4pm (BST) on Thursday 11 July.
Our two presenters are Peter Thall from MD Anderson and Kyu Ha Lee from Harvard. The discussants are: Axel Gandy, Imperial College London (RSS discussant) and Neby Bekele, Gilead Sciences (PSI discussant).
The webinar is sponsored by Wiley who will make both papers free to access for a few weeks before and after the webinar.
In preparation and prior to the day of the webinar, please follow the link above to obtain your personal dial in details and register with the webinar software. After registering via this link, you will receive a confirmation email containing information about joining the webinar, including details on how to dial-in via the telephone. Please allow enough time before joining to download the correct software.
Audio recordings will be available shortly after the JC to download from the PSI website. The meetings are open to everyone regardless to whether you are a member of PSI or RSS.
For further info/feedback, or to submit a question to the authors in advance of the meeting please contact journalclub@psiweb.org
Join us in our discussion on survival analysis method with focus on the application of two Bayesian methods for time to event data at 4pm (BST) on Thursday 11 July.
Our two presenters are Peter Thall from MD Anderson and Kyu Ha Lee from Harvard. The discussants are: Axel Gandy, Imperial College London (RSS discussant) and Neby Bekele, Gilead Sciences (PSI discussant).
The webinar is sponsored by Wiley who will make both papers free to access for a few weeks before and after the webinar.
In preparation and prior to the day of the webinar, please follow the link above to obtain your personal dial in details and register with the webinar software. After registering via this link, you will receive a confirmation email containing information about joining the webinar, including details on how to dial-in via the telephone. Please allow enough time before joining to download the correct software.
Audio recordings will be available shortly after the JC to download from the PSI website. The meetings are open to everyone regardless to whether you are a member of PSI or RSS.
For further info/feedback, or to submit a question to the authors in advance of the meeting please contact journalclub@psiweb.org
Join us in our discussion on survival analysis method with focus on the application of two Bayesian methods for time to event data at 4pm (BST) on Thursday 11 July.
Our two presenters are Peter Thall from MD Anderson and Kyu Ha Lee from Harvard. The discussants are: Axel Gandy, Imperial College London (RSS discussant) and Neby Bekele, Gilead Sciences (PSI discussant).
The webinar is sponsored by Wiley who will make both papers free to access for a few weeks before and after the webinar.
In preparation and prior to the day of the webinar, please follow the link above to obtain your personal dial in details and register with the webinar software. After registering via this link, you will receive a confirmation email containing information about joining the webinar, including details on how to dial-in via the telephone. Please allow enough time before joining to download the correct software.
Audio recordings will be available shortly after the JC to download from the PSI website. The meetings are open to everyone regardless to whether you are a member of PSI or RSS.
For further info/feedback, or to submit a question to the authors in advance of the meeting please contact journalclub@psiweb.org
Join us in our discussion on survival analysis method with focus on the application of two Bayesian methods for time to event data at 4pm (BST) on Thursday 11 July.
Our two presenters are Peter Thall from MD Anderson and Kyu Ha Lee from Harvard. The discussants are: Axel Gandy, Imperial College London (RSS discussant) and Neby Bekele, Gilead Sciences (PSI discussant).
The webinar is sponsored by Wiley who will make both papers free to access for a few weeks before and after the webinar.
In preparation and prior to the day of the webinar, please follow the link above to obtain your personal dial in details and register with the webinar software. After registering via this link, you will receive a confirmation email containing information about joining the webinar, including details on how to dial-in via the telephone. Please allow enough time before joining to download the correct software.
Audio recordings will be available shortly after the JC to download from the PSI website. The meetings are open to everyone regardless to whether you are a member of PSI or RSS.
For further info/feedback, or to submit a question to the authors in advance of the meeting please contact journalclub@psiweb.org
Join us in our discussion on survival analysis method with focus on the application of two Bayesian methods for time to event data at 4pm (BST) on Thursday 11 July.
Our two presenters are Peter Thall from MD Anderson and Kyu Ha Lee from Harvard. The discussants are: Axel Gandy, Imperial College London (RSS discussant) and Neby Bekele, Gilead Sciences (PSI discussant).
The webinar is sponsored by Wiley who will make both papers free to access for a few weeks before and after the webinar.
In preparation and prior to the day of the webinar, please follow the link above to obtain your personal dial in details and register with the webinar software. After registering via this link, you will receive a confirmation email containing information about joining the webinar, including details on how to dial-in via the telephone. Please allow enough time before joining to download the correct software.
Audio recordings will be available shortly after the JC to download from the PSI website. The meetings are open to everyone regardless to whether you are a member of PSI or RSS.
For further info/feedback, or to submit a question to the authors in advance of the meeting please contact journalclub@psiweb.org
Join us in our discussion on survival analysis method with focus on the application of two Bayesian methods for time to event data at 4pm (BST) on Thursday 11 July.
Our two presenters are Peter Thall from MD Anderson and Kyu Ha Lee from Harvard. The discussants are: Axel Gandy, Imperial College London (RSS discussant) and Neby Bekele, Gilead Sciences (PSI discussant).
The webinar is sponsored by Wiley who will make both papers free to access for a few weeks before and after the webinar.
In preparation and prior to the day of the webinar, please follow the link above to obtain your personal dial in details and register with the webinar software. After registering via this link, you will receive a confirmation email containing information about joining the webinar, including details on how to dial-in via the telephone. Please allow enough time before joining to download the correct software.
Audio recordings will be available shortly after the JC to download from the PSI website. The meetings are open to everyone regardless to whether you are a member of PSI or RSS.
For further info/feedback, or to submit a question to the authors in advance of the meeting please contact journalclub@psiweb.org
Upcoming Events
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.
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.
Topic: R Package Basics.
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, “R Package Basics,” will introduce the fundamentals of working with R packages—covering how to install, load, and manage them effectively to support data analysis and reproducible research. The session will provide a solid starting point, clarify common misconceptions, and offer valuable resources for continued learning.
Pre-Clinical SIG Webinar: Modern Algorithms for Animal Randomization in Preclinical Studies
A 1 hour online event, that includes a presentation followed by Q&A.
This webinar will first define terminology in causal inference/data fusion and illustrate their use with two case studies.
Date: 19 November 2025
This event is aimed at students with an interest in the field of Medical Statistics, for example within pharmaceuticals, healthcare and/or medical research.
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 Book Club Lunch and Learn: Communicating with Clarity and Confidence
If you have read Ros Atkins’ book The Art of Explanation or want to listen to the BBC’s ‘Communicator in Chief’, you are invited to join the PSI Book Club Lunch and Learn, to discuss the content and application with the author, Ros Atkins. Having written the book within the context of the news industry, Ros is keen to hear how we have applied the ideas as statisticians within drug development and clinical trials. There will be dedicated time during the webinar to ASK THE AUTHOR any questions – don’t miss out on this exclusive PSI Book Club event!
Haven’t read the book yet? Pick up a copy today and join us.
Explanation - identifying and communicating what we want to say - is described as an art, in the title of his book. However, the creativity comes from Ros’ discernment in identifying and describing a clear step-by-step process to follow and practice. Readers can learn Ros’ rules, developed and polished throughout his career as a journalist, to help communicate complex written or spoken information clearly.