Annals of Occupational Hygiene Advance Access originally published online on January 27, 2009
Annals of Occupational Hygiene 2009 53(2):181-184; doi:10.1093/annhyg/men084
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Published by Oxford University Press on behalf of the British Occupational Hygiene Society
LETTERS TO THE EDITOR |
Formaldehyde Risk Assessment
| The first 150 words of the full text of this article appear below. |
We would like to comment on the paper by Crump et al. (2008), Sensitivity analysis of biologically motivated model for formaldehyde-induced respiratory cancer in humans. We are authors of the formaldehyde cancer risk assessment described in Conolly et al. (2003, 2004) that is the subject of the Crump et al. paper. The focus of our comments is not on cancer risks per se associated with exposure to formaldehyde but, rather, on technical issues that arise in development of biologically motivated computational models (BMM) such as that described by Conolly et al. (2003, 2004). Indeed, our comments are for the most part generically relevant to the development of these kinds of models.
A two-stage clonal growth (CG) model is an important component of the suite of computational models that were developed in support of the assessment by Conolly et al. In the following, we provide an overview
OVERVIEW OF BIOLOGICALLY MOTIVATED MODELING
CRUMP ET AL. REPARAMETERIZATION OF THE CG MODEL
THE VALUE OF EXPERIMENTAL CHARACTERIZATION OF MECHANISMS OF DOSE–RESPONSE
CONTROL GROUPS
National Center for Computational Toxicology, Office of Research and Development, US Environmental Protection Agency, MD B205-01, Research Triangle Park, NC 27711, USA, E-mail: conolly.rory@epa.gov
Fred J. Miller & Associates LLC, 911 Queensferry Road, Cary, NC 27511, USA, E-mail: fjmiller@nc.rr.com
Division of Computational Biology, The Hamner Institutes for Health Sciences, 6 Davis Drive, Research Triangle Park, NC 27709, USA, E-mail: kimbell@thehamner.org
17702, 30th Drive South East, Bothell, WA 98012, USA, E-mail: derek.janszen@gmail.com
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