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Updated: Apr 11, 2026

Setting Limits on Supersymmetry Using Simplified Models

Setting Limits on Supersymmetry Using Simplified Models

Published on: November 15, 2013

Meta-analysis inside and outside particle physics: two traditions that should converge?

Rose D Baker¹, Dan Jackson²

¹Centre for Operational Research and Applied Statistics, University of Salford, Salford, U.K.

Research Synthesis Methods

|June 9, 2015

Summary

Particle physics meta-analysis, established in 1957, differs from medical approaches. This study finds systematic errors currently unhelpful and recommends the standard random effects model for particle physics applications.

Keywords:

exact test meta-analysis particle physics random effects modelling systematic error

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Area of Science:

Statistical methodology
High-energy physics
Epidemiology

Background:

Meta-analysis is widely used in medicine and epidemiology since the 1970s.
High-energy physics has employed meta-analysis for particle properties since 1957 via the Particle Data Group.
There is limited cross-disciplinary interaction between these fields.

Purpose of the Study:

To investigate differences in meta-analysis practices between high-energy physics and other scientific fields.
To evaluate the utility of systematic errors in particle physics meta-analysis.
To compare heterogeneity treatment methods: error scaling versus random effects models.

Main Methods:

Application of statistical models to compare meta-analysis practices.
Development and utilization of an exact test for the error-scaling hypothesis.
Discussion of methodological divergences between particle physics and general meta-analysis.

Main Results:

Systematic errors are currently found to be of limited utility in particle physics meta-analysis.
The conventional random effects model demonstrates utility within particle physics.
The error-scaling hypothesis was tested and discussed.

Conclusions:

The standard random effects model is recommended for particle physics meta-analysis.
Systematic errors do not appear to offer significant benefits in current particle physics meta-analysis.
Encourages greater exploration of statistical applications in diverse scientific fields.