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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
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
48: 45-50, 2007.
Ahn, H., Moon, H., Fazzari, M.J., Lim, N., Chen, J.J. and Kodell, R.L.
Classification by ensembles from random partitions of high-dimensional
data. Computational Statistics and Data Analysis 51: 6166-6179,
2007.
Kodell, R.L.
and Chen, J.J. On the use of probabilistic models for characterizing and
managing uncertainty in risk/safety assessment. Risk Analysis 27:
433-437, 2007.
Moon, H.,
Ahn, H., Kodell, R.L., Baek, S., Lin, C-J., Lee, T. and Chen J.J.
Ensemble methods for classification of patients for personalized medicine
with high-dimensional data. Artificial Intelligence in Medicine 41:
197-207, 2007.
Wilkes, J.G.,
Hass, B.S., Buzatu, D.A., Pence, L.M., Archer, J.C., Beger, R.D.,
Schnackenberg, L.K., Halbert, M.K., Jennings, L. and Kodell, R.L.
Modeling and assaying dioxin-like biological effects for both dioxin-like
and certain non-dioxin-like compounds. Toxicological Sciences 102:
187-195, 2008.
Moore, M.M., Heflich, R.H., Haber, L., Allen, B.C., Shipp, A.M. and
Kodell, R.L. Analysis of in vivo mutation data can inform cancer risk
assessment. Regulatory Toxicology and Pharmacology 51: 151-161,
2008.
Baek, S., Moon, H., Ahn, H., Kodell, R.L., Lin, C-J. and Chen, J.J.
Identifying high-dimensional biomarkers for personalized medicine via
variable importance ranking. Journal of Biopharmaceutical Statistics
18: 853-868, 2008.
Ahn, H., Moon, H. and Kodell, R.L. Estimation of lag time between
onset of and death from an occult tumor. Journal of Biopharmaceutical
Statistics 18: 901-914, 2008.
Kodell, R.L.,
Pearce, B.A., Baek, S., Moon, H., Ahn, H., Young, J.F. and Chen, J.J. A
model-free ensemble method for class prediction with application to
biomedical decision making. Artificial Intelligence in Medicine 46:
267-276, 2009.
Kodell, R.L.
Replace the NOAEL and LOAEL with the BMDL01 and BMDL10.
Environmental and Ecological Statistics 16: 3-12, 2009.
Kodell, R.L.,
Lensing, S.Y., Landes, R.D., Kumar, K.S. and Hauer-Jensen, M. Determination
of sample sizes for demonstrating efficacy of radiation countermeasures.
Biometrics 66: 239-248, 2010.
Kodell, R.L.
and Chen, J.J. Is premarket identification of hepatotoxic drugs and
sensitive patients possible based on high-dimensional ‘omic data?
Personalized Medicine 7: 171-178, 2010.
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:
07/13/2010
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