Trend tests for the evaluation of exposure-response relationships in epidemiological exposure studies

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dc.identifier.uri http://dx.doi.org/10.15488/1522
dc.identifier.uri http://www.repo.uni-hannover.de/handle/123456789/1547
dc.contributor.author Hothorn, Ludwig A.
dc.contributor.author Vaeth, Michael
dc.contributor.author Hothorn, Torsten
dc.date.accessioned 2017-05-11T07:53:38Z
dc.date.available 2017-05-11T07:53:38Z
dc.date.issued 2009
dc.identifier.citation Hothorn, L.A.; Vaeth, M.; Hothorn, T.: Trend tests for the evaluation of exposure-response relationships in epidemiological exposure studies. In: Epidemiologic Perspectives and Innovations 6 (2009), Nr. 1, 1. DOI: https://doi.org/10.1186/1742-5573-6-1
dc.description.abstract One possibility for the statistical evaluation of trends in epidemiological exposure studies is the use of a trend test for data organized in a 2 × k contingency table. Commonly, the exposure data are naturally grouped or continuous exposure data are appropriately categorized. The trend test should be sensitive to any shape of the exposure-response relationship. Commonly, a global trend test only determines whether there is a trend or not. Once a trend is seen it is important to identify the likely shape of the exposure-response relationship. This paper introduces a best contrast approach and an alternative approach based on order-restricted information criteria for the model selection of a particular exposure-response relationship. For the simple change point alternative H1 : 1 =.= q <q+1 =. = k an appropriate approach for the identification of a global trend as well as for the most likely shape of that exposure-response relationship is characterized by simulation and demonstrated for real data examples. Power and simultaneous confidence intervals can be estimated as well. If the conditions are fulfilled to transform the exposure-response data into a 2 × k table, a simple approach for identification of a global trend and its elementary shape is available for epidemiologists. eng
dc.language.iso eng
dc.publisher London : BioMed Central Ltd.
dc.relation.ispartofseries Epidemiologic Perspectives and Innovations 6 (2009), Nr. 1
dc.rights CC BY 2.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by/2.0/
dc.subject confidence interval eng
dc.subject epidemiological data eng
dc.subject exposure variable eng
dc.subject response variable eng
dc.subject simulation eng
dc.subject statistical analysis eng
dc.subject trend study eng
dc.subject.ddc 360 | Soziale Probleme, Sozialdienste, Versicherungen ger
dc.title Trend tests for the evaluation of exposure-response relationships in epidemiological exposure studies eng
dc.type article
dc.type Text
dc.relation.issn 1742-5573
dc.relation.doi https://doi.org/10.1186/1742-5573-6-1
dc.bibliographicCitation.issue 1
dc.bibliographicCitation.volume 6
dc.bibliographicCitation.firstPage 1
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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