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Ralph
L. Kodell, Ph.D.
Professor
Biostatistics
College of Public
Health Room 3218
Tel.: 501-686-5353
Email: RLKodell@uams.edu
Research Interests
·
Statistical models and methods for toxicology and risk assessment
·
Classification algorithms for biomedical decision making.
Honors
·
Fellow, American Statistical Association
·
Fellow, Academy of Toxicological Sciences
·
Academy of Distinguished Graduates, College of Science, Texas A&M
University
Recent Publications
Kodell, R.L., Young, J.F., Delongchamp,
R.R., Turturro, A., Chen, J.J., Gaylor, D.W., Howard, P.C. and Zheng,
Q. A mechanistic approach to modeling the risk of liver tumors in
mice exposed to fumonisin B1 in the
diet. Food Additives and Contaminants 18: 237-253, 2001.
Kodell, R.L. and Chen, J.J. Inferring effects on tumor
frequencies and times to observation in the analysis of tumor multiplicity
data. Biometrical Journal 43: 447-460, 2001.
Gaylor, D.W. and Kodell,
R.L. Dose-response trend tests for tumorigenesis
adjusted for differences in survival and body weight across doses. Toxicological
Sciences 59: 219-225, 2001.
Chen, J.J., Chen,
Y-J., Rice, G., Teuschler, L.K., Hamernik, K., Protzel, A. and
Kodell, R.L. Using dose
addition to estimate cumulative risks from exposures to multiple
chemicals. Regulatory Toxicology and Pharmacology 34: 35-41,
2001.
Kodell, R.L., Kang, S. and Chen, J.J. Statistical models of
health risk due to microbial contamination of foods. Environmental
and Ecological Statistics 9: 259-271, 2002.
Gaylor, D.W. and Kodell,
R.L. A procedure for developing risk-based reference doses.
Regulatory Toxicology and Pharmacology 35: 137-141, 2002.
Moon, H., Ahn, H. and Kodell,
R.L. Extension of Peto’s test by
attribution of tumor lethality in the absence of cause-of-death
information. Biometrical Journal 44: 982-1001, 2002.
Teuschler, L., Klaunig,
J., Carney, E., Chambers, J., Conolly, R., Gennings, C., Giesy, J.,
Hertzberg, R., Klaassen, C., Kodell,
R., Paustenbach, D. and Yang, R.
Support of science-based decisions concerning the evaluation of the
toxicology of mixtures: a new beginning. Regulatory Toxicology and
Pharmacology 36: 34-39, 2002.
Chen, J.J., Chen,
Y., Rice, G., Teuschler, L.K., Hamernik, K., Protzel, A. and
Kodell, R.L. Cumulative risk
assessment for quantitative response data. Environmetrics
14: 339-353, 2003.
Moon, H., Ahn, H., Kodell,
R.L. and Lee, J.J. Estimation of k for the Poly-k test with
application to animal carcinogenicity studies. Statistics in
Medicine 22: 2619-2636, 2003.
Hsueh, H., Chen, J.J. and Kodell R.L. Comparison of methods
for estimating the number of true null hypotheses in multiplicity
testing. Journal of Biopharmaceutical Statistics 13:
675-689, 2003.
Delongchamp, R.R., Bowyer, J.F., Chen,
J.J. and Kodell, R.L. Multiple-testing
strategy for analyzing cDNA array data on gene
expression. Biometrics 60: 774-782, 2004.
Razzaghi, M. and Kodell,
R.L. Quantitative risk assessment for developmental neurotoxic effects. Risk Analysis 24:
1673-1681, 2004.
Moon, H., Chen,
J.J., Gaylor, D.W. and Kodell,
R.L. A comparison of microbial dose-response models fitted to
human data. Regulatory Toxicology and Pharmacology 40:
177-184, 2004.
Moon, H., Ahn, H. and Kodell,
R.L. An age-adjusted bootstrap-based Poly-k test. Statistics
in Medicine 24: 1233-1244, 2005.
Molefe, D.F., Chen, J.J., Howard,
P.C., Miller, B.J., Sambuco, C.P., Forbes, P.D.
and Kodell, R.L. Tests for
effects on tumor frequency and latency in multiple dosing photococarcinogenicity experiments. Journal of
Statistical Planning and Inference 129: 39-58, 2005.
West, R.W. and Kodell, R.L. Changepoint
alternatives to the NOAEL. Journal of Agricultural, Biological
and Environmental Statistics 10: 197-211, 2005.
Kodell, R.L. Managing uncertainty in health risk
assessment. International Journal of Risk Assessment and
Management 5: 193-205, 2005.
Moon, H., Kim,
H-J., Chen, J.J. and Kodell, R.L.
Model averaging using the Kullback information
criterion in estimating effective doses for microbial infection and
illness. Risk Analysis 25: 1147-1159, 2005.
Kodell, R.L., Chen, J.J., Delongchamp,
R.R. and Young, J.F. Hierarchical models for probabilistic
dose-response assessment. Regulatory Toxicology and Pharmacology
45: 265-272, 2006.
Moon H, Ahn H, Kodell RL,
Lin C-J and Chen JJ Classification methods for the development
of genomic signatures from high-dimensional data. Genome Biology
7: R121.1-R121.7, 2006.
Chen, J.J, Moon,
H. and Kodell, R.L. A
probabilistic framework for non-cancer risk assessment. Regulatory
Toxicology and Pharmacology, in press, 2007.
Kodell, R.L. Replace the NOAEL and LOAEL with the BMDL01
and BMDL10. Environmental and Ecological Statistics,
accepted, 2007.
Ahn H, Moon H, Fazzari
MJ, Lim N, Chen JJ and Kodell RL
Classification by ensembles from random partitions of high-dimensional
data. Computational Statistics and Data Analysis, accepted,
2007.
Kodell RL and Chen JJ On the use of hierarchical probabilistic
models for characterizing and managing uncertainty in risk/safety
assessment. Risk Analysis, accepted, 2007.
University of Arkansas Related Links
University of
Arkansas
University of
Arkansas for Medical Sciences
UAMS College of
Public Health
UAMS Biostatistics
UALR
Statistical
Resources
American Statistical
Association
Interactive
Statistical Calculations
Online Stat Courses from Statistics.Com
Books and
Software
Amazon.com
SAS
NCSS-PASS
Mailing
Address:
Ralph
L. Kodell
UAMS
Biostatistics
4301
W. Markham St.,
Slot 781
Little Rock, AR
72205-7199
Contact Information
4301
West Markham, #781
Little
Rock, AR 72205-7199
Phone:
501.296.1556
Fax:
501.526.6729
http://www.uams.edu/biostat
Biostatistics Email
Biostatistics Webmaster
Last updated:
03/01/2007
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