Effect of Berkson measurement error on parameter estimates in Cox regression models |
| |
Authors: | Helmut Küchenhoff Ralf Bender Ingo Langner |
| |
Institution: | 1.Department of Statistics,Ludwig-Maximilians-Universit?t,München,Germany;2.Institute for Quality and Efficiency in Health Care,Cologne,Germany;3.Bremen Institute for Prevention Research and Social Medicine,Bremen,Germany |
| |
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 Cohort Study both
with 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. Even the effect of a Berkson measurement error with high variance, which is not unrealistic
in our example, is a negligible attenuation of the observed effect. However, this effect is more pronounced for multiplicative
measurement error. |
| |
Keywords: | Error in variables Berkson error Cox regression |
本文献已被 PubMed SpringerLink 等数据库收录! |
|