Publications

Zilber D, Messier KP, House J, Parham F, Auerbach SS, Wheeler MW. 2025. Bayesian gene set benchmark dose estimation for “omic” responses. Bioinformatics 41(1):btaf008; doi: 10.1093/bioinformatics/btaf008. PMCID: PMC11783320.

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.

O’Brien J, Mitchell C, Auerbach S, Doonan L, Ewald J, Everett L, Faranda A, Johnson K, Reardon A, Rooney J., Wheeler MW, et al. 2024. Bioinformatic workflows for deriving transcriptomic points of departure: Current status, data gaps, and research priorities. Toxicol Sci 203(2):147-159; doi: 10.1093/toxsci/kfae145. PMCID: PMC11775421.

Fitch S, Blanchette A, Haws LC, Franke K, Ring C, DeVito M, Wheeler M,… Wikoff DS. 2024. Systematic update to the mammalian relative potency estimate database and development of best estimate toxic equivalency factors for dioxin-like compounds. Regul Toxicol Pharmacol 147(Feb):105571; doi: 10.1016/j.yrtph.2024.105571. PMID: 38244664.

DeVito M, Bokkers B, van Duursen MBM, van Ede K, Feeley M, Antunes Fernandes Gaspar E, Haws L,… Wheeler M,… Wikoff DD, et al. 2024. The 2022 World Health Organization reevaluation of human and mammalian toxic equivalency factors for polychlorinated dioxins, dibenzofurans and biphenyls. Regul Toxicol Pharmacol 146(Jan):105525; doi: 10.1016/j.yrtph.2023.105525. PMID: 37972849.

Ring C, Blanchette A, Klaren WD, Fitch S, Haws L, Wheeler MW, DeVito MJ, Walker N, Wikoff D. 2023. A multi-tiered hierarchical Bayesian approach to derive toxic equivalency factors for dioxin-like compounds. Regul Toxicol Pharmacol 143(11):105464; doi: 10.1016/j.yrtph.2023.105464. PMID: 37516304.

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.

Wheeler MW, Lim S, House JS, Shockley KR, Bailer AJ, Fostel J, Yang L, Talley D, Raghuraman A, Gift JS. 2023. ToxicR: A computational platform in R for computational toxicology and dose–response analyses. Comp Toxicol 25(Feb):100259; doi: 10.1016/j.comtox.2022.100259. PMCID: PMC9997717.

Moran KR, Wheeler MW. 2022. Fast increased fidelity samplers for approximate Bayesian Gaussian process regression. J Roy Stat Soc B 84(4):1198-228; doi: 10.1111/rssb.12494. PMCID: 36570797.

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.

Davidson SE, Wheeler MW, Auerbach SS, Sivaganesan S, Medvedovic M. 2022. ALOHA: Aggregated local extrema splines for high-throughput dose–response analysis. Comp Toxicol. 21(Feb):100196; doi: 10.1016/j.comtox.2021.100196. PMCID: PMC8785973.

Moran KR, Dunson D, Wheeler MW, Herring AH. 2021. Bayesian joint modeling of chemical structure and dose response curves. Ann Appl Stat 15(3):1405; doi: 10.214/21-aoas1461. PMCID: PMC9236276.

Wheeler MW, Westerhout J, Baumert JL, Remington BC. 2021. Bayesian stacked parametric survival with frailty components and interval‐censored failure times: An application to food allergy risk. Risk Anal 41(1):56-66; doi: 10.1111/risa.13585. PMCID: PMC7894991.

Marvel SW, House JS, Wheeler MW, Song K, Zhou Y-H, Wright FA, Chiu WA, Rusyn I, Motsinger-Reif A, Reif DM. 2021. The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: Monitoring county-level vulnerability using visualization, statistical modeling, and machine learning. Environ Health Perspect 129(1):017701; doi: 10.1289/EHP8690. PMCID: PMC7430608

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.

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.

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.

Remington BC, Westerhout J, Meima MY, Blom WM, Kruizinga AG, Wheeler MW, Taylor SL, Houben GF, Baumert JL. 2020. Updated population minimal eliciting dose distributions for use in risk assessment of 14 priority food allergens. Food Chem Toxicol 139(May):111259; doi: 10.1016/j.fct.2020.111259. PMCID: PMC7748293.

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

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.