2025 (2 POSTS)
East A, Wheeler M, Kennedy S . Artificial intelligence application to critical appraisal of published literature: A case example using the Criteria for Reporting and Evaluating Ecotoxicity Data (CRED) evaluation method. Poster presentation, Health and Environmental Sciences Institute (HESI) Biannual Meeting, Washington, DC, June 2025.
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Topics: artificial intelligence , CRED , ecotoxicity , ecotoxicology
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.
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Topics: benchmark dose estimation (BMD) , Toxicology , transcriptomics
2024 (4 POSTS)
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 .
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Topics: Toxicology , transcriptomics
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.
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Topics: bioinformatics , transcriptomics
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.
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Topics: Systematic Review , Toxicology
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.
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Topics: dioxin , Epidemiology
2023 (3 POSTS)
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.
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Topics: dioxin , Epidemiology
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.
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Topics: dose-response , modeling
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.
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Topics: benchmark dose estimation (BMD) , computational toxicology
2022 (3 POSTS)
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.
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Topics: Bayesian modeling , modeling
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.
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Topics: benchmark dose estimation (BMD) , dose-response , modeling , risk analysis
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.
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Topics: benchmark dose estimation (BMD) , computational toxicology
2021 (3 POSTS)
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.
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Topics: Bayesian modeling , modeling
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.
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Topics: Bayesian modeling , Food science , risk analysis
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
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Topics: COVID-19 , modeling
2020 (4 POSTS)
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.
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Topics: dose-response , Food science , risk analysis , risk assessment
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.
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Topics: benchmark dose estimation (BMD) , dose-response
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.
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Topics: Bayesian modeling , benchmark dose estimation (BMD) , dose-response , risk assessment
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.
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Topics: Food science , risk assessment
2019 (2 POSTS)
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
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