Eric Haupt, ScM

Eric Haupt works as a research associate providing informatics support to an oncology clinical trials program in Southern California. He has a Master of Science in Epidemiology from Johns Hopkins University and is most interested in clinical trial design and biomarker qualification.

Most Recent Articles by Eric Haupt, ScM

Bayesian Adaptive Randomization: A Q&A With Brian M. Alexander MD, PhD

Bayesian Adaptive Randomization: A Q&A With Brian M. Alexander MD, PhD

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Researchers developed a novel Bayesian adaptive randomization method that maximizes efficiency by focusing the algorithm to reduce uncertainty within patient-treatment baskets.

Adaptive Randomization and the I-SPY 2 Trial Platform

Adaptive Randomization and the I-SPY 2 Trial Platform

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Researchers interpreting results from studies using adaptive randomization must be aware of assumptions made during study.

Statistical Significance, Uncertainty, and KEYNOTE-010

Statistical Significance, Uncertainty, and KEYNOTE-010

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Readers should look for "anything that adds uncertainty to the analysis, including uncertainty in the measurements, differences in dropout rates among arms, missing data, and how they were handled in the analysis."

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