Combining information

Walter W Piegorsch, A. John Bailer

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

The combination of information from diverse sources is a common task encountered in computational statistics. A popular label for analyses involving the combination of results from independent studies is meta-analysis. The goal of the methodology is to bring together the results of different studies, reanalyze the disparate results within the context of their common endpoints, synthesize where possible into a single summary endpoint, increase the sensitivity of the analysis to detect the presence of adverse effects, and provide a quantitative analysis of the phenomenon of interest based on the combined data. This article discusses some basic methods in meta-analytic calculations and includes commentary on how to combine or average results from multiple models applied to the same set of data.

Original languageEnglish (US)
Pages (from-to)354-360
Number of pages7
JournalWiley Interdisciplinary Reviews: Computational Statistics
Volume1
Issue number3
DOIs
StatePublished - Nov 2009

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Computational Statistics
Multiple Models
Quantitative Analysis
Methodology
Context

ASJC Scopus subject areas

  • Statistics and Probability

Cite this

Combining information. / Piegorsch, Walter W; Bailer, A. John.

In: Wiley Interdisciplinary Reviews: Computational Statistics, Vol. 1, No. 3, 11.2009, p. 354-360.

Research output: Contribution to journalArticle

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