Office of Research and Innovation - 2019 Jones, J. L., Broughton, R., Iamsasri, T., Fancher, C. M., Wilson, A. G., Reich, B., & Smith, R. C. (2019). The use of Bayesian inference in the characterization of materials and thin films. ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES, Vol. 75, pp. A211–A211. https://doi.org/10.1107/S0108767319097940 Rock, K. D., Gillera, S. E. A., Devarasetty, P., Horman, B., Knudsen, G., Birnbaum, L. S., … Heather, P. B. (2019). Sex-specific behavioral effects following developmental exposure to tetrabromobisphenol A (TBBPA) in Wistar rats. NEUROTOXICOLOGY, 75, 136–147. https://doi.org/10.1016/j.neuro.2019.09.003 Typhina, E., & Wilson, A. (2019). Discussion on “Effective interdisciplinary collaboration between statisticians and other subject matter experts.” Quality Engineering. https://doi.org/10.1080/08982112.2018.1539233 Krentzel, A. A., Barrett, L. R., & Meitzen, J. (2019). Estradiol rapidly modulates excitatory synapse properties in a sex- and region-specific manner in rat nucleus accumbens core and caudate-putamen. JOURNAL OF NEUROPHYSIOLOGY, 122(3), 1213–1225. https://doi.org/10.1152/jn.00264.2019 Tian, Y., Bondell, H. D., & Wilson, A. (2019). Bayesian variable selection for logistic regression. STATISTICAL ANALYSIS AND DATA MINING, 12(5), 378–393. https://doi.org/10.1002/sam.11428 Kotlarz, N., Raskin, L., Zimbric, M., Errickson, J., LiPuma, J. J., & Caverly, L. J. (2019). Retrospective Analysis of Nontuberculous Mycobacterial Infection and Monochloramine Disinfection of Municipal Drinking Water in Michigan. MSPHERE, 4(4). https://doi.org/10.1128/mSphere.00160-19 Gasior, K., Wagner, N. J., Cores, J., Caspar, R., Wilson, A., Bhattacharya, S., & Hauck, M. L. (2019). The role of cellular contact and TGF-beta signaling in the activation of the epithelial mesenchymal transition (EMT). CELL ADHESION & MIGRATION, 13(1), 63–75. https://doi.org/10.1080/19336918.2018.1526597 Gilman, J. F., Fronczyk, K. M., & Wilson, A. G. (2019). Bayesian modeling and test planning for multiphase reliability assessment. QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 35(3), 750–760. https://doi.org/10.1002/qre.2406