Estimating exposure distributions: A caution for Monte Carlo risk assessment

Human and Ecological Risk Assessment (HERA)

Volumn 2, Issue 4, 1996, Pages 874-891

  Stanek III, Edward J ^a  

^a UNIVERSITY OF MASSACHUSETTS   (United States)

Author keywords

Estimation; Exposure assessment; Monte Carlo analysis; Risk assessment; Soil ingestion

Indexed keywords

EID: 21444431585     PISSN: 10807039     EISSN: None     Source Type: Journal    
DOI: 10.1080/10807039609383654     Document Type: Article

References (17)

1. Aickin, M. and Ritenbaugh, C. 1991. Estimation of the true distribution of vitamin A intake by the unmixing algorithm, Communication in Statistics- Simulations 20, 1, 255-280.
2. Calabrese, E.J., Barnes, R., Stanek, E.J., Pastides, H., Gilbert, C.E., Veneman, P., Wang, X., Lasztity, A., and Kostecki, P.T. 1989. How much soil do young children ingest: An epidemiologic study. Reg. Toxic. Pharm. 10, 123-137.
3. Calabrese, E.J. and Stanek, E.J. 1995. Resolving inter-tracer inconsistencies in soil ingestion estimation. Env. Health Persp. 103, 5, 454-457.
4. Davis, S., Waller, P., Buschom, R., Ballou, J., and White, P. 1990. Quantitative estimates of soil ingestion in normal children between the ages of 2 and 7 years: Population-based estimates using aluminum, silicon, and titanium as soil tracer elements. Arch. Environ. Health 45, 112-122.
5. Gephart, L., Tell, J.G., and Triemer, L.R. 1994. Exposure factor manual, J. Soil Contamination 3, 47-117.
6. Goldberger, A.S. 1962. Best linear unbiased prediction in the generalized linear regression model, J. Am. Stat. Assoc. 57, 369-375.
7. Harville, D.A. 1976. Extension of the Gauss-Markov theorem to include the estimation of random effects, Ann. Statistics 2, 384-395.
8. Harville, D.A. 1977. Maximum-likelihood approaches to variance component estimation and to related problems, J. Am. Stat. Assoc. 72, 320-340.
9. Henderson, C.R. 1984. Applications of Linear Models in Animal Breeding, University of Guelph, Department of Animal Science.
10. Laird, N.M 1978. Nonparameteric maximum likelihood estimation of a mixing distribution, J. Am. Stat. Assoc. 73, 805-811.
11. Louis, T.A. 1984. Estimating a population of parameter values using Bayes and Empirical Bayes methods, J. Am. Stat. Assoc. 79, 393-398.
12. Link, W.A. and Sauer, J.R. 1995. Estimation and confidence intervals for empirical mixing distributions, Biometrics 51, 810-821.
13. McLean, R.A., Sanders, W.L., and Stroup, W.W. 1991. A unified approach to mixed linear models, Am. Statistician 45, 54-64.
14. Robinson, G.K. 1991. That BLUP is a good thing: The estimation of random effects, Statistical Sci. 6, 15-51.
15. Searle, S.R., Casella, G., and McCulloch, C.E. 1992. Variance Components, Chapter 7, New York, John Wiley and Sons.
16. Stanek, E.J. III and Calabrese, E.J. 1995a. Daily soil ingestion in children, Environ. Health Perspect. 103, 276-285.
17. Stanek, E.J. III and Calabrese, E.J. 1995b. Soil ingestion estimates for use in site evaluations based on the best tracer method, Hum. Ecol. Risk Assess. 1, 133-156.