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Kompletter Metadatensatz
DublinCore-Feld | Wert | Sprache |
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dc.contributor.author | Küchenhoff, Helmut | en |
dc.contributor.author | Lederer, Wolfgang | en |
dc.contributor.author | Lesaffre, Emmanuel | en |
dc.date.accessioned | 2006-04-25 | - |
dc.date.accessioned | 2010-05-14T10:10:31Z | - |
dc.date.available | 2010-05-14T10:10:31Z | - |
dc.date.issued | 2006 | - |
dc.identifier.pi | doi:10.5282/ubm/epub.1841 | en |
dc.identifier.pi | urn:nbn:de:bvb:19-epub-1841-6 | en |
dc.identifier.uri | http://hdl.handle.net/10419/31104 | - |
dc.description.abstract | Most epidemiological studies suffer from misclassification in the response and/or the covariates. Since ignoring misclassification induces bias on the parameter estimates, correction for such errors is important. For measurement error, the continuous analog to misclassification, a general approach for bias correction is the SIMEX (simulation extrapolation) originally suggested by Cook and Stefanski (1994). This approach has been recently extended to regression models with a possibly misclassified categorical response and/or the covariates by K¨uchenhoff et al. (2005), and is called the MC-SIMEX approach. To assess the importance of a regressor not only its (corrected) estimate is needed, but also its standard error. For the original SIMEX approach. Carroll et al. (1996) developed a method for estimating the asymptotic variance. Here we derive the asymptotic variance estimators for the MC-SIMEX approach, extending the methodology of Carroll et al. (1996). We also include the case where the misclassification probabilities are estimated by a validation study. An extensive simulation study shows the good performance of our approach. The approach is illustrated using an example in caries research including a logistic regression model, where the response and a binary covariate are possibly misclassified. | en |
dc.language.iso | eng | en |
dc.publisher | |aLudwig-Maximilians-Universität München, Sonderforschungsbereich 386 - Statistische Analyse diskreter Strukturen |cMünchen | en |
dc.relation.ispartofseries | |aDiscussion Paper |x473 | en |
dc.subject.ddc | 519 | en |
dc.subject.keyword | misclassification | en |
dc.subject.keyword | SIMEX approach | en |
dc.subject.keyword | variance estimation | en |
dc.title | Asymptotic Variance Estimation for the Misclassification SIMEX | - |
dc.type | |aWorking Paper | en |
dc.identifier.ppn | 510830471 | en |
dc.rights | http://www.econstor.eu/dspace/Nutzungsbedingungen | en |
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