Publications
The receipts for the rigor. The industry outcomes are on the Work page.
2025 Gilbertson, M. L. J., Ketz, A. C., Hunsaker, M. A., Walsh, D. P., Storm, D. J. & Turner, W. C. White-tailed deer habitat use and implications for chronic wasting disease transmission. Wildlife Monographs, 217(1). doi:10.1002/wmon.70001
2024 Gaya, H. E. & Ketz, A. C. Comparison of WAIC and posterior predictive approaches for N-mixture models. Scientific Reports, 14. doi:10.1038/s41598-024-66643-4
2023 Ketz, A. C., Storm, D. J., Barker, R. E., Apa, A. D., Oliva-Aviles, C. & Walsh, D. P. Assimilating ecological theory with empiricism: Using constrained generalized additive models to enhance survival analyses. Methods in Ecology and Evolution, 14(3), 952-967. doi:10.1111/2041-210X.14057
2023 Fry, T. L., Owens, L. A., Ketz, A. C., Atwood, T. C., Dunay, E. & Goldberg, T. L. Serum virome of Southern Beaufort Sea polar bears (Ursus maritimus) during a period of rapid climate change. Conservation Physiology, 11(1). doi:10.1093/conphys/coad054
2022 Ketz, A. C., Robinson, S. J., Johnson, C. J. & Samuel, M. D. Pathogen-mediated selection and management implications for white-tailed deer exposed to chronic wasting disease. Journal of Applied Ecology, 59(4), 982-996. doi:10.1111/1365-2664.14109
2019 Ketz, A. C., Storm, D. J. & Samuel, M. D. Chronic wasting disease and implications for cervid populations. CAB Reviews, 14(38), 1-15. doi:10.1079/PAVSNNR201914038
2019 Ketz, A. C., Johnson, T. L., Hooten, M. B. & Hobbs, N. T. A hierarchical Bayesian approach for handling missing classification data. Ecology and Evolution, 9(6), 3130-3140. doi:10.1002/ece3.4927
2018 Ketz, A. C., Johnson, T. L., Monello, R. J., Mack, J., George, J. L., Kraft, B. R., Wild, M. A., Hooten, M. B. & Hobbs, N. T. Estimating abundance of an open population with an N-mixture model using auxiliary data on animal movements. Ecological Applications, 28(3), 816-825. doi:10.1002/eap.1692
2016 Ketz, A. C., Johnson, T. L., Monello, R. J. & Hobbs, N. T. Informing management with monitoring data: the value of Bayesian forecasting. Ecosphere, 7(11). doi:10.1002/ecs2.1587
Full list on Google Scholar.