Abstract
An area of growing importance in quantitative risk analysis concerns the combination of information from diverse sources. A common rubric for combining the results of independent studies is meta-analysis. The goal of the methodology is to bring together results of different studies, reanalyze the disparate results within the context of their common endpoints, 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 entry 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.
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Citing Literature
Encyclopedia of Quantitative Risk Analysis and Assessment
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