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 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.
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.
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.
PSI Training Course: Regulatory Guidelines for Statisticians
This 2-day course is designed to provide a comprehensive understanding of the regulatory guidelines affecting statisticians in the pharmaceutical industry, including the latest updates in the field. The course will cover key International Council for Harmonisation (ICH) guidelines and other key regional regulatory agency documents.
In this event, we’ll start with a general introduction to hierarchical composite endpoints and an overview of common analysis methods including win ratio, win odds, and net benefit. Then, the practical considerations will be illustrated through case studies from clinical trials in heart failure and chronic kidney disease. We conclude with a discussion and a Q&A.
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.
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