Multi-dimensional Meta-analysis for Assessment of Relationships between Asthma Rates and Particulate Air Pollution

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dc.creatorBrand, J. I.
dc.creatorHallbeck, M. S.
dc.creatorRyan, S. M.
dc.date2001-01-18
dc.date.accessioned2026-07-07T04:39:43Z
dc.date.available2026-07-07T04:39:43Z
dc.descriptionMulti-dimensional meta-analysis (MDMA) is an innovative technique for investigating complex scientific problems influenced by "external" factors, such as social, medical, economic, political or climatic trends. MDMA extends traditional meta-analysis by identifying significant data from diverse and independent disciplines ("orthogonal dimensions") and incorporating truth tables and non-parametric analysis methods in the interpretation protocol. In this paper, we outline the methodology of MDMA. We then demonstrates how to apply the method to a specific problem: the relationship between asthma and air particulates. The conclusions from the example show that the further reduction of atmospheric particulate levels is not necessarily the answer to the increasing asthma incidence. This example also demonstrates the strength of this method of analysis for complex problems.
dc.description9 pages, 2 figures
dc.identifierhttps://arxiv.org/abs/math/0101151
dc.identifierhttp://arxiv.org/abs/math/0101151
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/60778
dc.subjectGeneral Mathematics
dc.subject62P12
dc.titleMulti-dimensional Meta-analysis for Assessment of Relationships between Asthma Rates and Particulate Air Pollution
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