The Multiple Comparisons Problem in Clinical Trials


Susan S. Ellenberg, PhD

Professor of Biostatistics, Perelman School of Medicine, University of Pennsylvania

Session Goals:

The multiple comparisons problem is ubiquitous in clinical trials. We want to avoid “fishing expeditions,” but we also need to learn from our data. We can strike the right balance by proper interpretation of our findings.

Learning Objectives:

1. What do we mean by “the multiple comparisons problem?”
2. How can we control false positive error when performing multiple analyses?
3. How should we interpret our data when we are reporting multiple analyses?

A live webcast sponsored by:

The N2 PBRN Virtual Training Series (AHRQ, Grant No. 1P30-HS-021667) and Clinical Directors Network, Inc. (CDN)


May 2, 2018: 10:30 AM – 12:00 PM EDT

Slideset –

The Multiple Comparisons Problem in Clinical Trials (PDF)

Evaluation –

This webcast is approved for up to 1.5 Prescribed CME credits by the American Academy of Family Physicians (AAFP). Enduring Credits valid until May 2, 2019.

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