July 1–July 4, 2025
Uppsala, Sweden
We are excited to announce that we are accepting applications for the ISPE Peer Mentoring Program, a pilot program developed by the ISPE Membership Committee. We invite all eligible ISPE members to join small, carefully coordinated groups of 5-6 peers, matched on career sector, years of experience, and meeting time preferences, when possible. Peer-to-peer mentoring will provide invaluable career development opportunities with peer advice, allowing members to enhance professional skills, broaden perspectives, and build a supportive community within ISPE. Visit our page for more details.
ISPE is pleased to announce the induction of new ISPE Fellows this year. The induction ceremony is scheduled for ISPE's Annual Meeting 2024 in Berlin, Germany
Click here for details: New ISPE Fellows 2024
The ISPE Board of Directors is pleased to announce the results of the recent election of 6 new directors to the Board, who will take office at our annual meeting in August in Berlin, Germany.
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When: July 31, 2025 10-11 AM Eastern Time (USA and Canada)
Topic: Clone-censor-weight approach for Target Trial Emulation
Description: Observational data can be misleading when emulating randomized trials, especially when treatment assignment occurs after cohort entry. The clone-censor-weight (CCW) method offers a principled solution within the target trial emulation framework by aligning eligibility, treatment assignment, and follow-up time. This talk will explain how cloning individuals into multiple treatment strategies, artificially censoring deviations, and applying inverse probability weights can mitigate immortal time bias and emulate the intention-to-treat principle. We will use practical examples to illustrate implementation steps, key assumptions, and pitfalls. This session is ideal for students and early-career researchers interested in real-world evidence and advanced epidemiologic methods.
Learning Objectives:
Speaker Bio:
Dr. Kenneth Man, Lecturer/Assistant Professor in Pharmacoepidemiology and Drug Safety
UCL School of Pharmacy, London, UK
Dr. Man is a pharmacoepidemiologist and medical statistician specialising in using electronic health records and big data to address critical questions about medication safety and effectiveness. His work incorporates advanced methodologies, such as propensity scores, self-controlled designs, target trial emulation, and multinational data harmonisation to generate real world evidence that informs healthcare practices worldwide.
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