Dror Rom, Wenjin Wang, and Jie Chen, MCP2025 Organizing Committee Co-Chairs
The 13th International Conference on Multiple Comparison Procedures took place August 12–15 at Temple University in Philadelphia. Commemorating three decades since the seminal work of Yoav Benjamini and Yosef Hochberg introduced the false discovery rate, referred to here as FDR, the conference brought together more than 120 statisticians and research scientists from around the world.
The program opened with welcome remarks by Sunil Wattal, associate dean of research and doctoral programs at the Fox School of Business. Sanat Sarkar then offered brief remarks before introducing Yoav Benjamini of Tel Aviv University, who delivered the opening keynote address.
In his lecture, Benjamini reflected on the emergence of FDR and its impact on medical research, highlighted how major scientific advances have shaped both past and present developments in FDR methodology, and shared his perspective on future challenges—particularly those posed by big data and generative AI—that call for continued refinement of FDR concepts and methods.
On Day 2, Mark J. van der Laan of the University of California, Berkeley, delivered the second keynote speech. He traced the development of targeted learning and demonstrated its application to multiple testing in causal inference with real-world evidence.
Day 3 brought Florian Klinglmueller, head of the Expert Group Statistics at the Austrian Agency for Health and Food Safety in Vienna, who gave the third keynote speech about current regulatory challenges and methodological perspectives on multiplicity in confirmatory clinical trials.
Preceding the main conference, three short courses were offered. The scientific program also featured 24 parallel sessions with more than 90 speakers presenting on a wide range of topics in multiple comparisons and multiple testing, including the following:
- FDR control
- Familywise error rate control
- Causal inference with real-world data
- Regulatory perspectives on multiplicity
- Graphical approaches
- Group sequential designs
- Platform trials
- Conformal inference
- E-values
- Online inference
- Ranking and selection methods
Leave a Reply