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 Mentoring 2025
Date: Ongoing 6 month cycle beginning late April/early May 2024
Are you a member of PSI looking to further your career or help develop others - why not sign up to the PSI Mentoring scheme? You can expand your network, improve your leadership skills and learn from more senior colleagues in the industry.
PSI Training Course: Mixed Models and Repeated Measures
This course is presented through lectures and practical sessions using SAS code. It is suitable for statisticians working on clinical trials, who already have a good understanding of linear and generalised linear models.
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.
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 interactive online training workshop providing an in-depth review of the estimand framework as laid out by ICH E9(R1) addendum with inputs from estimand experts, case studies, quizzes and opportunity for discussions. You will develop an estimand in a therapeutic area of interest to your company. In an online break-out room, you will join a series of team discussions to implement the estimand framework in a case study, aligning estimands, design, conduct, analysis, (assumptions + sensitivity analyses) to the clinical objective and therapeutic setting.
Maths Meets Medicine: Exploring Careers in the Pharmaceutical Industry
This session will showcase how careers in pharmaceutical statistics can be both rewarding and impactful, with a focus on how mathematics is integral to the development of medicines. Students will hear from industry experts, explore diverse career paths, and learn why continuing to study math is key to unlocking exciting opportunities in the healthcare sector.
Dissolution Testing: Time for Statistical (r)Evolution
Webinar dedicated to the topic of dissolution of oral solid dosage forms; opportunity to hear from statisticians working in the CMC field, with open question and answers.
In addition, the CMC Statistical Network Europe special interest group will discuss advocacy opportunities, have your say to contribute to the future direction.
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.