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 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.
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.
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.
Initially a brief introduction to AI will be given, followed by a presentation of various applications in medicinal product lifecycle. Several aspects will be discussed including performance, theoretical and practical conditions and also regulatory guidelines.
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.
Who is this event intended for? Statisticians with an interest understanding dose-finding in oncology.
What is the benefit of attending? Learn about the state of oncology dose finding, particularly in light of current FDA guidance.
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.
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.
The BioMarin internship programme will enable students to gain valuable experience and knowledge of the processes and systems within BioMarin, whilst gaining an insight into the pharmaceutical/biotech industry.