ASA Austin proudly welcomes Dr. Michael Barón for an insightful webinar on Multiple Testing in Sequential and Non-Sequential Experiments.
The challenge of multiple hypothesis testing shows up everywhere - from clinical trials to change-point detection and beyond. Dr. Barón (American University, Dept. of Mathematics & Statistics) will walk us through how classical methods like Holm, Hommel, Benjamini-Hochberg, and Guo-Sarkar can be extended into sequential frameworks that enhance efficiency without compromising statistical accuracy.
Key highlights:
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Controlling both Type I and Type II FWER
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Reducing expected sample size and cost
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Optimal error spending and equalizer rules
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Real-world examples from clinical trials
Why Attend
This session offers both theoretical insights and practical applications for statisticians, data scientists, and clinical researchers interested in efficient experimental design and robust inference methods.
Time: Nov 19, 2025 7PM Central Time (US and Canada)
Join Zoom Meeting
https://stevens.zoom.us/j/95144647431
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Charu Gupta
AstraZeneca
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