Model-averaged benchmark concentration estimates for continuous response data arising from epidemiological studies

Risk Analysis

Volumn 29, Issue 4, 2009, Pages 558-564

  Noble, Robert B ^a   Bailer, A John ^a   Park, Robert ^b  

^a MIAMI UNIVERSITY   (United States)

^b NATIONAL INSTITUTE FOR OCCUPATIONAL SAFETY AND HEALTH   (United States)

Author keywords

BIC; Concentration metrics; Hierarchy of terms; Model family; Multiple regression; Posterior model probabilities

Indexed keywords

BIC; CONCENTRATION METRICS; HIERARCHY OF TERMS; MULTIPLE REGRESSION; POSTERIOR MODEL PROBABILITIES;

COAL DUST; POPULATION STATISTICS; RISK PERCEPTION; UNCERTAINTY ANALYSIS;

CONCENTRATION (PROCESS);

COAL;

BENCHMARKING; COAL; DATABASE; EPIDEMIOLOGY; HAZARD ASSESSMENT; MODEL; MULTIPLE REGRESSION; UNCERTAINTY ANALYSIS;

ARTICLE; AVERAGE; CALCULATION; CONCENTRATION RESPONSE; CONTINUOUS RESPONSE DATA; DISEASE COURSE; FORCED EXPIRATORY VOLUME; HEALTH HAZARD; HUMAN; LONG TERM EXPOSURE; LUNG FUNCTION; MATHEMATICAL ANALYSIS; MEASUREMENT; MINER; MODEL; MODEL AVERAGED BENCHMARK CONCENTRATION; MULTIPLE REGRESSION; OCCUPATIONAL EXPOSURE; PROBABILITY; RISK ASSESSMENT;

ANTHRACOSIS; BAYES THEOREM; BENCHMARKING; EPIDEMIOLOGIC STUDIES; HUMANS;

EID: 62749178550     PISSN: 02724332     EISSN: 15396924     Source Type: Journal    
DOI: 10.1111/j.1539-6924.2008.01178.x     Document Type: Article

References (20)

1. Crump K. A new method for determining allowable daily intakes. Fundamental and Applied Toxicology, 1984 4 : 854 871.
2. Attfield MD, Morring K. An investigation into the relationship between coal workers' pneumonconiosis and dust exposure in U.S. coal miners. American Industrial Hygiene Journal, 1992 53 : 486 492.
3. Attfield MD, Hodous TK. Pulmonary function of U.S. coal miners related to dust exposure estimates. American Review of Respiratory Disease, 1992 145 : 605 609.
4. Bailer AJ, Stayner LT, Smith RJ, Kuempel ED, Prince MM. Estimating benchmark concentrations and other noncancer endpoints in epidemiology studies. Risk Analysis, 1997 17.6 : 771 779.
5. Budtz-Jørgensen, Keiding N, Grandjean P. Benchmark dose calculations from epidemiological data. Biometrics, 2001 57 : 698 706.
6. Carlin BP, Chib S. Bayesian model choice via Markov chain Monte Carlo methods. Journal of the Royal Statistical Society, Ser. B, 1995 57 : 473 484.
7. Hoeting JA. Accounting for uncertainty in linear regression. Ph.D. dissertation, University of Washington, 1994.
8. Kass RE, Raftery AE. Bayes factors. Journal of the American Statistical Association, 1995 90 : 773 795.
9. Newton MA, Raftery AE. Approximate Bayesian inference by weighted likelihood bootstrap. Journal of the Royal Statistical Society, Ser. B, 1994 56 : 1 48.
10. Raftery AE. Bayesian model selection in social research. Sociological Methodology, 1995 25 : 111 195.
11. Raftery AE. Approximating Bayes factors and accounting for model uncertainty in generalized linear models. Biometrika, 1996 83 : 251 266.
12. Schwarz G. Estimating the dimension of a model. Annals of Statistics, 1978 6 : 461 464.
13. Moon H, Kim HY, Chen JJ, Kodell RL. Model averaging using the Kullback information criterion in estimating effective e doses for microbial infection and illness. Risk Analysis, 2005 25 : 1147 1159.
14. Wheeler MW, Bailer AJ. Properties of model-averaged BMDLs: A study of model averaging in dichotomous response risk estimation. Risk Analysis, 2007 27 : 659 670.
15. Madigan D, Raftery AE. Model selection and accounting for model uncertainty in graphical models using Occam's window. Journal of the American Statistical Association, 1994 89 : 1535 1546.
16. Hoeting JA, Madigan D, Raftery AE, Volinsky CT. Bayesian model averaging: A tutorial. Statistical Science, 1999 14 : 382 417.
17. Morales KH, Ibrahim JG, Chen CJ, Ryan LM. Bayesian model averaging with applications to benchmark dose estimation for arsenic in drinking water. Journal of the American Statistical Association, 2005 101 : 9 17.
18. Bailer AJ, Noble RB, Wheeler M. Model uncertainty and risk estimation for quantal responses. Risk Analysis, 2005 25 : 291 299.
19. Kang SH, Kodell RL, Chen JJ. Incorporating model uncertainties along with data uncertainties in microbial risk assessment. Regulatory Toxicology and Pharmacology, 2000 32 : 68 72.
20. Faes C, Aerts M, Geys H, Molenberghs G. Model averaging using fractional polynomials to estimate a safe level of exposure. Risk Analysis, 2007 27 : 111 123.