Publications

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.

Wheeler MW, Dunson DB, Herring AH. 2017. Bayesian local extremum splines. Biometrika 104(4):939-52; doi: 10.1093/biomet/asx039. PMCID: PMC5798493.

Wheeler MW, Bailer AJ, Cole T, Park RM, Shao K. 2017. Bayesian quantile impairment threshold benchmark dose estimation for continuous endpoints. Risk Anal 37(11):2107-18; doi: 10.1111/risa.12762. PMCID: PMC5740488.

Shao K, Allen BC, Wheeler MW. 2017. Bayesian hierarchical structure for quantifying population variability to inform probabilistic health risk assessments. Risk Anal 37(10):1865-78; doi: 10.1111/risa.12751.PMCID: PMC6151353.

Pandalai SP, Wheeler MW, Lu M-L. 2017. Non-chemical risk assessment for lifting and low back pain based on Bayesian threshold models. Saf Health Work 8(2):206-11; doi: 10.1016/j.shaw.2016.10.001. PMCID: PMC5447412.

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.

Wheeler MW, Shao K, Bailer AJ. 2015. Quantile benchmark dose estimation for continuous endpoints. Environmetrics 26(5):363-72; doi: 10.1002/env.2432.

Wheeler MW, Dunson DB, Pandalai SP, Baker BA, Herring AH. 2014. Mechanistic hierarchical Gaussian processes. J Amer Stat Assoc 109(507):894-904; doi: 10.1080/01621459.2014.899234. PMCID: PMC4273873.

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

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.

Loomis D, Schulman MD, Bailer AJ, Stainback K, Wheeler MW, Richardson DB, Marshall SW. 2009. Political economy of US states and rates of fatal occupational injury. Amer J Pub Health 99(8):1400-8; doi: 10.2105/AJPH.2007.131409. PMCID: PMC2707476.

Kuempel ED, Wheeler MW, Smith RJ, Vallyathan V, Green FH. 2009. Contributions of dust exposure and cigarette smoking to emphysema severity in coal miners in the United States. Amer J Resp Crit Care Med 180(3):257-64; doi: 10.1164/rccm.200806-840OC. PMID: 19423717.

Wheeler MW, Bailer AJ. 2009. Comparing model averaging with other model selection strategies for benchmark dose estimation. Environ Ecol Stat 16:37-51; doi: 10.1007/s10651-007-0071-7.

Wheeler MW, Bailer AJ. 2009. Benchmark dose estimation incorporating multiple data sources. Risk Anal 29(2):249-56; doi: 10.1111/j.1539-6924.2008.01144x. PMID: 19000080.

Wheeler MW, Bailer AJ. 2008. Model averaging software for dichotomous dose response risk estimation. J Stat Software 26(5):1-15; doi: 10.18637jss.v026.i05.

Wheeler MW, Fadel W, Robertson J, John Bailer A. 2007. Confidence interval construction for relative toxicity endpoints such as LD₅₀ or LD₉₀ ratios. J Econ Entomol 100(6):1945-9; doi: 10.1093/jee/100.6.1945. PMID: 18232415.

Wheeler MW, Bailer AJ. 2007. Properties of model‐averaged BMDLs: A study of model averaging in dichotomous response risk estimation. Risk Anal 7(3):659-70; doi: 10.1111/j.1539-6924.2007.0090.x. PMID: 17640214.

Dankovic D, Kuempel E, Wheeler MW. 2007. An approach to risk assessment for TiO2. Inhal Toxicol 19(sup1):205-12; doi: 10.1080/08958370701497754. PMID: 17886069.

Wheeler MW, Park RM, Bailer AJ. 2006. Comparing median lethal concentration values using confidence interval overlap or ratio tests. Environ Toxicol Chem 25(5):1441-4; doi: 10.1897/05-320r.1. PMID: 16704080.

Bailer AJ, Wheeler MW, Dankovic D, Noble R, Bena J. 2005. Incorporating uncertainty and variability in the assessment of occupational hazards. Int J Risk Assess Manage 5(2-4):344-57; doi: 10.1504/IJRAM.2005.007176.