Show simple item record

dc.contributor.authorHartemink, Nienke
dc.contributor.authorBoshuizen, Hendriek C
dc.contributor.authorNagelkerke, Nico J D
dc.contributor.authorJacobs, Monique A M
dc.contributor.authorHouwelingen, Hans C van
dc.date.accessioned2006-10-26T12:08:42Z
dc.date.available2006-10-26T12:08:42Z
dc.date.issued2006-06-01
dc.identifier.citationAm. J. Epidemiol. 2006, 163(11):1042-52en
dc.identifier.issn0002-9262
dc.identifier.pmid16611666
dc.identifier.doi10.1093/aje/kwj141
dc.identifier.urihttp://hdl.handle.net/10029/5607
dc.description.abstractStudies on a dose-response relation often report separate relative risks for several risk classes compared with a referent class. When performing a meta-analysis of such studies, one has to convert these relative risks into an overall relative risk for a continuous effect. Apart from taking the dependence between separate relative risks into account, this implies assigning an exposure level to each risk factor class and allowing for the nonlinearity of the dose-response relation. The authors describe a relatively simple method solving these problems. As an illustration, they applied this method in a meta-analysis of the association between body mass index and diabetes type 2, restricted to results of follow-up studies (n=31). Results were compared with a more ad hoc method of assigning exposure levels and with a method in which the nonlinearity of the dose-response method was not taken into account. Differences with the ad hoc method were larger in studies with fewer categories. Not incorporating the nonlinearity of the dose response leads to an overestimation of the pooled relative risk, but this bias is relatively small.
dc.format.extent299768 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.titleCombining risk estimates from observational studies with different exposure cutpoints: a meta-analysis on body mass index and diabetes type 2.en
dc.typeArticleen
dc.format.digYES
refterms.dateFOA2018-12-18T13:48:34Z
html.description.abstractStudies on a dose-response relation often report separate relative risks for several risk classes compared with a referent class. When performing a meta-analysis of such studies, one has to convert these relative risks into an overall relative risk for a continuous effect. Apart from taking the dependence between separate relative risks into account, this implies assigning an exposure level to each risk factor class and allowing for the nonlinearity of the dose-response relation. The authors describe a relatively simple method solving these problems. As an illustration, they applied this method in a meta-analysis of the association between body mass index and diabetes type 2, restricted to results of follow-up studies (n=31). Results were compared with a more ad hoc method of assigning exposure levels and with a method in which the nonlinearity of the dose-response method was not taken into account. Differences with the ad hoc method were larger in studies with fewer categories. Not incorporating the nonlinearity of the dose response leads to an overestimation of the pooled relative risk, but this bias is relatively small.


Files in this item

Thumbnail
Name:
hartemink.pdf
Size:
292.7Kb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record