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http://dx.doi.org/10.5351/KJAS.2013.26.3.453

Bayesian Analysis of Dose-Effect Relationship of Cadmium for Benchmark Dose Evaluation  

Lee, Minjea (Department of Statistics, Korea University)
Choi, Taeryon (Department of Statistics, Korea University)
Kim, Jeongseon (Molecular Epidemiology Branch, National Cancer Center)
Woo, Hae Dong (Molecular Epidemiology Branch, National Cancer Center)
Publication Information
The Korean Journal of Applied Statistics / v.26, no.3, 2013 , pp. 453-470 More about this Journal
Abstract
In this paper, we consider a Bayesian analysis of the dose-effect relationship of cadmium to evaluate a benchmark dose(BMD). For this purpose, two dose-response curves commonly used in the toxicity study are fitted based on Bayesian methods to the data collected from the scientific literature on cadmium toxicity. Specifically, Bayesian meta-analysis and hierarchical modeling build an overall dose-effect relationship that use a piecewise linear model and Hill model, where the inter-study heterogeneity and inter-individual variability of dose and effect such as gender, age and ethnicity are accounted. Estimation of the unknown parameters is made by using a Markov chain Monte Carlo algorithm based user-friendly software WinBUGS. Benchmark dose estimates are evaluated for various cut-offs and compared with different tested subpopulations with with gender, age and ethnicity based on these two Bayesian hierarchical models.
Keywords
Benchmark dose; cadmium toxicity; dose-effect modeling; meta analysis; WinBUGS;
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Times Cited By KSCI : 3  (Citation Analysis)
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1 Choi (2010). Estimating a benchmark dose in dose response studies via Bayesian hierarchical methods, Journal of The Korean Data Analysis Society, 12, 119-133.
2 Choi, T., Schervish, M. J., Schmitt, A. K. and Small, M. J. (2010). Bayesian analysis for fitting multiple health endpoints in a toxicity study, Journal of Agricultural, Biological and Environmental Statistics, 15, 290-307 .   DOI
3 Crump, K. (2002). Critical issues in benchmark calculations from continuous data, Critical Reviews in Toxicology, 32, 133-153.   DOI   ScienceOn
4 EFSA (2009). Meta-analysis of Dose-Effect Relationship of Cadmium for Benchmark, EFSA Scientific Report, 254, 1-62.
5 Gamo, M., Ono, K. and Nakanishi, J. (2006). Meta-analysis for deriving age-and gender-specific dose-response relationships between urinary cadmium concentration and fbetagfsub2g-microglobulinuria under environmental exposure, Environmental Research, 42, 45-62.
6 Iwata, K., Saito, H., Moriyama, M. and Nakano, A. (1993). Renal tubular function after reduction of environmental cadmium exposure: A ten-year follow-up, Archives of Environmental Health: An International Journal, 48, 157-163.   DOI
7 Jakubowski, M., Trojanowska, B., Kowalska, G., Gendek, E., Starzynski, Z., Krajewska, B. and Jajte, J. (1987). Occupational exposure to cadmium and kidney dysfunction, Int Arch Occup Environ Health, 59, 567-577.   DOI   ScienceOn
8 JECFA (2011). World Health Organization (WHO). Cadmium. In: Safety Evaluation of Certain Food Additives and Contaminant, Prepared by the Seventy-third Meeting of the Joint FAO/WHO Expert Committee on Food Additives (JECFA). WHO food additives series, Geneva, 2011.
9 Jo, Y., Lim, Y., Kim, H. and Lee, J. (2012). Bayesian analysis for heat effects on mortality, Communications of the Korean Statistical Society, 19, 705-720.   DOI   ScienceOn
10 Kulinskaya, E., Morgenthaler, S. and Staudte, R. G. (2008). Meta Analysis, John Wiley & Sons Ltd., New York.
11 Lee, H., Yoon, E., Yum, Y. N., Hwang, M. S., Yang, K. and Shin, H. S. (2002). Estimating permissible intake level for endosulfan using Benchmark dose based on reproductive toxicity, Journal of Toxicology and Public Health, 18, 65-71.
12 Ntzoufras (2009). Bayesian Modeling Using WinBUGS, John Wiley & Sons Ltd., New York.
13 Lee, J., Choi, T. and Woo, Y. (2011). Bayesian approaches to zero inflated Poisson model, The Korean Journal of Applied Statistics, 24, 677-693.   과학기술학회마을   DOI   ScienceOn
14 National Cancer Center (2012). Evaluation report for the integration of heavy metals by oral ingestion: Cadmium, National Cancer Center, Seoul, Korea.
15 Noh, J. (2008). A review of the meta-analysis in library and information Science, Journal of the Korean Society for Library and Information Science, 42, 45-62.   과학기술학회마을   DOI   ScienceOn
16 Oh, Y., Choi, T. and Cho, M. (2012). Empirical study on Bayesian model selection of stochastic volatility models using deviance information criterion, Journal of The Korean Data Analysis Society, 14, 1871-1888.
17 Omarova, A. and Phillips, C. J. C. (2007). A meta-analysis of literature data relating to the relationships between cadmium intake and toxicity indicators in humans, Environmental Research, 103, 432-440.   DOI   ScienceOn
18 Parmigiani, G. (2002). Modeling in Medical Decision Making, John Wiley & Sons Ltd., New York.
19 Sand, S., Victorin, K. and Filipsson, A. F. (2008). The current state of knowledge on the use of the benchmark dose concept in risk assessment, Journal of Applied Toxicology, 28, 405-421.   DOI   ScienceOn
20 Spiegelhalter, D. J., Best, N. G., Carlin, B. P. and Van Der Linde, A. (2002). Bayesian measures of model complexity and fit, Journal of the Royal Statistical Society: Series B (Statistical Methodology), 64, 583-639.   DOI   ScienceOn
21 Spiegelhalter, D. J., Abrams, K. R. and Myles, J. P. (2004). Bayesian Approaches to Clinical Trials and Health-Care Evaluation, John Wiley & Sons Ltd., New York.
22 US. EPA (2002). Perchlorate Environmental Contamination : Toxicological Review and Risk Characterization, 2002 External Review, U.S. Environmental Protection Agency, Office of Research and Development, National Center for Envionmental Assessment, Washington Office, Washington, DC. NCEA-1-0503, 2002.
23 Spiegelhalter, D. J., Thomas, A., Best, N. G. and Lunn, K. (2003). WinBUGS User Manual, MRC Biostatistics Unit, Imperial College School of Medicine, UK.
24 Suwazono, Y., Sand, S., Vahter, M., Filipsson, A. F., Skerfving, S., Lidfeldt, J. and Akesson, A. (2006). Benchmark dose for cadmium-induced renal effects in humans, Environmental Health Perspectives, 114, 1072.   DOI   ScienceOn