Mid Year 2024

Mid-Year 2024

April 14-16
Orlando, Florida, USA

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ICPE24

2024 ISPE Annual Meeting

August 24-28
Berlin, Germany

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African Conference

African Conference

June 10-14, 2024
Mombasa, Kenya

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Asian Conference

Asian Conference

October 12-14, 2024
Tokyo, Japan

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ISPE Updates

Unlock Exclusive Opportunities: Explore Our Sponsorship Prospectus Today!

 

2024 ISPE Board of Directors Election is underway!

Please take a moment today to exercise your right as an ISPE member to vote and help shape the future of the Society.  Vote online today: 2024 ISPE E-Ballot.

Please record your vote by Sunday March 24th!

ICPE 2023 recordings are now available

Read the announcement email here
Visit the meeting site page here

ICPE 2023 Photos Now Available

Photos of the recently concluded ICPE 2023 held in Halifax, Canada, in August, can be accessed here.

ICPE 2023 photos are royalty-free, and anyone is welcome to download and use them but must be accompanied with attribution to the International Society for Pharmacoepidemiology

Congratulations to our newest ISPE Fellows

ISPE is pleased to announce the induction of 15 new ISPE Fellows this year. The induction ceremony is scheduled for Saturday, August 26th in Halifax, Canada, at ICPE 2023.

Click here for details: New ISPE Fellows 2023

 

 

Upcoming Webinars:

April 29, 2024, 10:00 – 11:00 am EST
Estimating the Comparative Effectiveness and Safety of Dynamic Interventions

There is growing interest in complex treatment strategies which adapt to a patient's evolving clinical characteristics, side-effects, and response to past treatment. However, evaluating such strategies, with variations in the timing, duration, and sequence of therapies, may not be feasible in randomized trials. This provides an opportunity for real-world data to be leveraged for causal inference when appropriate study design and analytics are applied. We describe some of the methodological challenges and considerations in emulating target trials of complex treatment strategies and highlight how to address these issues.

June 6, 2024, 10am - 11am EST
Avoidable Sources of Bias in Real-world Evidence Studies of Treatment Effects

Real-world evidence (RWE) studies that utilize existing healthcare data to evaluate treatment effects are subject to multiple sources of bias. While confounding and data quality are often considered the major challenges in RWE generation, it has been shown that many observational studies yield biased results because of self-inflicted and avoidable errors in study design. In this webinar, we will go over major sources of avoidable bias in studies of treatment effects, including time-related bias and immortal person-time, selection bias, reverse causation, and detection bias. Strategies to identify and prevent avoidable bias will also be discussed.

Interested in presenting a webinar? Submit a webinar proposal here

 

 

 

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