Publications
dose-response (28 POSTS)
2024 (4 POSTS)
A hierarchical constrained density regression model for predicting cluster‐level dose‐response
Pennell ML, Wheeler MW, Auerbach SS. 2024. A hierarchical constrained density regression model for predicting cluster‐level dose‐response. Environmetrics 35(7):e2880; doi: 10.1002/env.2880.
View AbstractFetal response to maternal exposures: Utility of a four-cell human organ-on-chip device to transport and effects of environmental chemicals
Moyer H, Kim S, Lam BP, Richardson L, Menon R, Rusyn I, Han A. Fetal response to maternal exposures: Utility of a four-cell human organ-on-chip device to transport and effects of environmental chemicals. Abstract 4236, Society of Toxicology 63rd Annual Meeting, Salt Lake City, UT, March 2024. Winner, Reproductive and Developmental Toxicology Specialty Section Poster Award.
View AbstractIntroduction: Challenges associated with the use of epidemiologic studies in chemical risk assessments
Schaefer H. Introduction: Challenges associated with the use of epidemiologic studies in chemical risk assessments. Abstract 1295, Society of Toxicology 63rd Annual Meeting, Salt Lake City, UT, 2024.
View AbstractCapturing unknowns: Increasing utility of epidemiologic studies as key evidence in chemical risk assessment
Schaefer H. Capturing unknowns: Increasing utility of epidemiologic studies as key evidence in chemical risk assessment. Abstract 1294, Society of Toxicology 63rd Annual Meeting, Salt Lake City, UT, 2024.
View Abstract2023 (2 POSTS)
An investigation of non-informative priors for Bayesian dose-response modeling
Wheeler MW. 2023. An investigation of non-informative priors for Bayesian dose-response modeling. Regul Toxicol Pharmacol 141(June):105389; doi: 10.1016/j.yrtph.2023.105389. PMCID: PMC10436774.
View AbstractLetter to “Chepelev et al. Establishing a quantitative framework for regulatory interpretation of genetic toxicity dose–response data: Margin of exposure case study of 48 compounds with both in vivo mutagenicity and carcinogenicity dose–response data”
Thompson CM, Proctor DM, Harris MA. 2023. Letter to “Chepelev et al. Establishing a quantitative framework for regulatory interpretation of genetic toxicity dose–response data: Margin of exposure case study of 48 compounds with both in vivo mutagenicity and carcinogenicity dose–response data.” Environ Mol Mutagen 64(4):259–260; doi: 10.1002/em.22537. PMID: 36916184.
2022 (1 POST)
Continuous model averaging for benchmark dose analysis: Averaging over distributional forms
Wheeler MW, Cortiñas Abrahantes J, Aerts M, Gift JS, Allen Davis J. 2022. Continuous model averaging for benchmark dose analysis: Averaging over distributional forms. Environmetrics 33(5):e2728; doi: 10.1002/env.2728. PMCID: PMC9799099.
View Abstract2021 (1 POST)
Bayesian hierarchical evaluation of dose-response for peanut allergy in clinical trial screening
Haber LT, Reichard JF, Henning AK, Dawson P, Chinthraja RS, Sindher SB, Long A, Vincent MJ, et al. 2021. Bayesian hierarchical evaluation of dose-response for peanut allergy in clinical trial screening. Food Chem Toxicol 151(May):112125; doi: 10.1016/j.fct.2021.112125. PMID: 33722597.
View Abstract2020 (3 POSTS)
Full range of population eliciting dose values for 14 priority allergenic foods and recommendations for use in risk characterization
Houben GF, Baumert JL, Blom WM, Kruizinga AG, Meima MY, Remington BC, Wheeler MW, Westerhout J, Taylor SL. 2020. Full range of population eliciting dose values for 14 priority allergenic foods and recommendations for use in risk characterization. Food Chem Toxicol 146(Dec)111831; doi: 10.1016/j.fct.2020.111831. PMCID: PMC7864389.
View AbstractAn extended and unified modeling framework for benchmark dose estimation for both continuous and binary data
Aerts M, Wheeler MW, Abrahantes JC. 2020. An extended and unified modeling framework for benchmark dose estimation for both continuous and binary data. Environmetrics 31(7):e2630; doi: 10.1002/env.2630. PMCID: PMC9432821.
View AbstractQuantitative risk assessment: Developing a Bayesian approach to dichotomous dose–response uncertainty
Wheeler MW, Blessinger T, Shao K, Allen BC, Olszyk L, Davis JA, Gift JS. 2020. Quantitative risk assessment: Developing a Bayesian approach to dichotomous dose–response uncertainty. Risk Anal 40(9):1706-22; doi: 10.1111/risa.13537. PMCID: PMC7722241.
View Abstract2019 (3 POSTS)
Derivation of an occupational exposure limit for diacetyl using dose-response data from chronic animal inhalation exposure study
Beckett EM, Cyrs WD, Abelmann A, Monnot AD, Gaffney SH, Finley BL. 2019. Derivation of an occupational exposure limit for diacetyl using dose-response data from chronic animal inhalation exposure study. J Appl Toxicol 39(5):688–701; doi: 10.1002/jat.3757.
View AbstractQuantal risk assessment database: A database for exploring patterns in quantal dose‐response data in risk assessment and its application to develop priors for Bayesian dose‐response analysi
Wheeler MW, Piegorsch WW, Bailer AJ. 2019. Quantal risk assessment database: A database for exploring patterns in quantal dose‐response data in risk assessment and its application to develop priors for Bayesian dose‐response analysis. Risk Anal 39(3):616-29; doi: 10.1111/risa.13218. PMCID: PMC6408269
View AbstractBayesian additive adaptive basis tensor product models for modeling high dimensional surfaces: An application to high-throughput toxicity testing
Wheeler MW. 2019. Bayesian additive adaptive basis tensor product models for modeling high dimensional surfaces: An application to high-throughput toxicity testing. Biometrics 75(1):193-201; doi: 10.1111/biom.12942. PMCID: PMC6363906.
View Abstract2015 (1 POST)
Historical context and recent advances in exposure-response estimation for deriving occupational exposure limits
Wheeler MW, Park R, Bailer A, Whittaker C. 2015. Historical context and recent advances in exposure-response estimation for deriving occupational exposure limits. J Occup Environ Hyg 12(sup1):S7-S17; doi: 10.1080/15459624.2015.1076934. PMCID: PMC4685605.
View Abstract2014 (1 POST)
Smoothing regression splines as the basis for dose-response modeling
Hixon JG, Thompson C, Bichteler A, Abraham L. Smoothing regression splines as the basis for dose-response modeling. Presented at Society of Toxicology 53rd Annual Meeting, Phoenix, AZ, March 2014.
View Abstract2013 (1 POST)
An empirical comparison of low-dose extrapolation from points of departure (PoD) compared to extrapolations based upon methods that account for model uncertainty
Wheeler MW, Bailer AJ. 2013. An empirical comparison of low-dose extrapolation from points of departure (PoD) compared to extrapolations based upon methods that account for model uncertainty. Regul Toxicol Pharmacol 67(1):75-82; doi: 10.1016/j.yrtph.2013.06.006. PMCID: PMC4724873
View Abstract2012 (2 POSTS)
Monotonic Bayesian semiparametric benchmark dose analysis
Wheeler MW, Bailer AJ. 2012. Monotonic Bayesian semiparametric benchmark dose analysis. Risk Anal 32(7):1207-18; doi: 10.1111/j.1539-6924.2011.01786.x. PMID: 22385024.
View AbstractUse of constrained logistic regression models for the dose-response analysis of beryllium sensitization and chronic beryllium disease with mean exposure
Hixon JG, Proctor D. Use of constrained logistic regression models for the dose-response analysis of beryllium sensitization and chronic beryllium disease with mean exposure. Presented at Society of Toxicology 51st Annual Meeting, San Francisco, CA, March 2012.
View Abstract2010 (1 POST)
Dose response assessment from effects of acute exposure to methyl isothiocyanate (MITC)
Dourson M, Kohrman-Vincent M, Allen B, Cain W. 2010. Dose response assessment from effects of acute exposure to methyl isothiocyanate (MITC). Regul Toxicol Pharmacol 58(2):181–188; doi: 10.1016/j.yrtph.2010.04.006.
View Abstract