Ph.D. Student Profile
Jonathan Boss, BS, MS
- Doctoral Candidate
- Cognate: Biostatistics
- MS Biostatistics, University of Michigan (2018)
- BS Mathematics, Advanced and Statistics, Michigan State University (2016)
Research Interests & Projects
Continuous shrinkage priors, multi-pollutant modeling, high-dimensional mediation analysis, data integration. Applied collaborations in environmental statistics ranging from amyotrophic lateral sclerosis, birth outcomes, and racial differences in telomere length.
Goutman SA, Boss J, Guo K, Alakwaa FM, Patterson A, Kim S, Savelieff MG, Hur J, Feldman EL. Untargeted metabolomics yields insight into ALS disease mechanisms. J Neurol Neurosurg Psychiatry. 2020;91(12):1329-1338.Boss J, Mukherjee B, Ferguson KK, Aker A, Alshawabkeh AN, Cordero JF, Meeker JD, Kim S. Estimating outcome-exposure associations when exposure biomarker detection limits vary across batches. Epidemiology. 2019;30(5):746-755.Goutman SA, Boss J, Patterson A, Mukherjee B, Batterman S, Feldman EL. High plasma concentrations of organic pollutants negatively impact survival in amyotrophic lateral sclerosis. J Neurol Neurosurg Psychiatry. 2019;90(8):907-912.Boss J, Zhai J, Aung MT, Ferguson KK, Johns LE, McElrath TF, Meeker JD, Mukherjee B. Associations between mixtures of urinary phthalate metabolites with gestational age at delivery: a time to event analysis using summative phthalate risk scores. Environ Health. 2018;17(1):56.