Electronic Journal of Statistics

A note on Dempster-Shafer recombination of confidence distributions

Jan Hannig and Min-ge Xie

Full-text: Open access

Abstract

It is often the case that there are several studies measuring the same parameter. Naturally, it is of interest to provide a systematic way to combine the information from these studies. Examples of such situations include clinical trials, key comparison trials and other problems of practical importance. Singh et al. (2005) provide a compelling framework for combining information from multiple sources using the framework of confidence distributions. In this paper we investigate the feasibility of using the Dempster-Shafer recombination rule on this problem. We derive a practical combination rule and show that under assumption of asymptotic normality, the Dempster-Shafer combined confidence distribution is asymptotically equivalent to one of the method proposed in Singh et al. (2005). Numerical studies and comparisons for the common mean problem and the odds ratio in $2\times 2$ tables are included.

Article information

Source
Electron. J. Statist., Volume 6 (2012), 1943-1966.

Dates
First available in Project Euclid: 12 October 2012

Permanent link to this document
https://projecteuclid.org/euclid.ejs/1350046859

Digital Object Identifier
doi:10.1214/12-EJS734

Mathematical Reviews number (MathSciNet)
MR2988470

Zentralblatt MATH identifier
1295.62005

Subjects
Primary: 62A01: Foundations and philosophical topics
Secondary: 62F99: None of the above, but in this section

Keywords
Confidence distribution Dempster-Shafer calculus generalized fiducial inference meta analysis

Citation

Hannig, Jan; Xie, Min-ge. A note on Dempster-Shafer recombination of confidence distributions. Electron. J. Statist. 6 (2012), 1943--1966. doi:10.1214/12-EJS734. https://projecteuclid.org/euclid.ejs/1350046859


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