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Activity Number: 187 - Contributed Poster Presentations: Section on Nonparametric Statistics
Type: Contributed
Date/Time: Monday, July 29, 2019 : 10:30 AM to 12:20 PM
Sponsor: Section on Nonparametric Statistics
Abstract #304452
Title: Exact Meta-Analysis Using a Permutation-Based Approach
Author(s): Brinley Zabriskie* and Chris Corcoran and Pralay Senchaudhuri
Companies: Utah State University and Utah State University and Cytel Software Corporation
Keywords: small samples; rare events; adverse events; heterogeneity; correlated data; network algorithm

The increasingly widespread use of meta-analysis has led to growing interest in meta-analytic methods for rare events and sparse data. Conventional approaches tend to perform very poorly in such settings. Recent work in this area has provided options for sparse data, but these are still often hampered when heterogeneity across the available studies differs according to the exposure or treatment group. We propose a permutation-based approach that accommodates this common contingency, providing more reliable statistical tests when such patterns of heterogeneity are observed. Our approach also can be used as a basis for computing exact confidence intervals when estimating effect size, as well as for basic network meta-analyses.

Authors who are presenting talks have a * after their name.

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