Bayesian bias adjustments of the lung cancer SMR in a cohort of German carbon black production workers
-
* Corresponding author: Peter Morfeld peter.morfeld@evonik.com
1 Institute for Occupational Medicine of Cologne University/Germany
2 Institute for Occupational Epidemiology and Risk Assessment of Evonik Industries, Essen/Germany
3 Department of Biological Engeneering, Massachusetts Institute of Technology, Boston/USA
Journal of Occupational Medicine and Toxicology 2010, 5:23 doi:10.1186/1745-6673-5-23
Published: 11 August 2010Additional files
Additional file 1:
Glossary of key terms. Key terms of the Bayesian analysis and its implementation are explained.
Format: DOC Size: 24KB Download file
This file can be viewed with: Microsoft Word Viewer
Additional file 2:
Derivation of the bias factor. The bias factor equation is explained in detail which is applied throughout in the analyses.
Format: DOC Size: 41KB Download file
This file can be viewed with: Microsoft Word Viewer
Additional file 3:
R program code. R program for Bayesian bias adjustment of a potentially distorted SMR via Markov Chain Monte Carlo simulation (Metropolis sampler).
Format: DOC Size: 148KB Download file
This file can be viewed with: Microsoft Word Viewer
