Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/31066
Authors: 
Küchenhoff, Helmut
Bender, Ralf
Langner, Ingo
Lenz-Tönjes, Rebecca
Year of Publication: 
2003
Series/Report no.: 
Discussion paper // Sonderforschungsbereich 386 der Ludwig-Maximilians-Universität München 346
Abstract: 
We study the effect of additive and multiplicative Berkson measurement error in Cox proportional hazard model. By plotting the true and the observed Survivor function and the true and the observed hazard function dependent on the exposure one can get ideas about the effect of this type of error on the estimation of the slope parameter corresponding to the variable measured with error. As an example we analyze the measurement error in the situation of the German Uranium Miners Study both with the graphical methods and with a simulation study. We do not see a substantial bias in the presence of small measurement error and in the rare disease case. Ever the effect of a Berkson measurement error with high variance, which is not unrealistic in our example, is a negligible attentuation of the observed effect. This effect is more pronounced for multiplicative measurement error.
Subjects: 
Measurement error
job exposure matrix
Cox model
Berkson error
survival times
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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