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Status: Bibliographieeintrag

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Verfasst von:Lorenz, Eva [VerfasserIn]   i
 Jenkner, C. [VerfasserIn]   i
 Sauerbrei, W. [VerfasserIn]   i
 Becher, Heiko [VerfasserIn]   i
Titel:Dose-response modelling for bivariate covariates with and without a spike at zero
Titelzusatz:theory and application to binary outcomes
Verf.angabe:E. Lorenz, C. Jenkner, W. Sauerbrei, H. Becher
E-Jahr:2015
Jahr:16 March 2015
Umfang:25 S.
Fussnoten:Gesehen am 03.06.2020
Titel Quelle:Enthalten in: Statistica Neerlandica
Ort Quelle:Oxford : Wiley-Blackwell, 1996
Jahr Quelle:2015
Band/Heft Quelle:69(2015), 4, Seite 374-398
ISSN Quelle:1467-9574
Abstract:In epidemiology and clinical research, there is often a proportion of unexposed individuals resulting in zero values of exposure, meaning that some individuals are not exposed and those exposed have some continuous distribution. Examples are smoking or alcohol consumption. We will call these variables with a spike at zero (SAZ). In this paper, we performed a systematic investigation on how to model covariates with a SAZ and derived theoretical odds ratio functions for selected bivariate distributions. We consider the bivariate normal and bivariate log normal distribution with a SAZ. Both confounding and effect modification can be elegantly described by formalizing the covariance matrix given the binary outcome variable Y. To model the effect of these variables, we use a procedure based on fractional polynomials first introduced by Royston and Altman (1994, Applied Statistics 43: 429-467) and modified for the SAZ situation (Royston and Sauerbrei, 2008, Multivariable model-building: a pragmatic approach to regression analysis based on fractional polynomials for modelling continuous variables, Wiley; Becher et al., 2012, Biometrical Journal 54: 686-700). We aim to contribute to theory, practical procedures and application in epidemiology and clinical research to derive multivariable models for variables with a SAZ. As an example, we use data from a case-control study on lung cancer.
DOI:doi:10.1111/stan.12064
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext ; Verlag: https://doi.org/10.1111/stan.12064
 Volltext: https://onlinelibrary.wiley.com/doi/abs/10.1111/stan.12064
 DOI: https://doi.org/10.1111/stan.12064
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:bivariate dose-response model
 fractional polynomials
 regression modelling
 spike at zero
K10plus-PPN:169927701X
Verknüpfungen:→ Zeitschrift

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