About Ting Tian
Title: Post Doctoral Research Associate
2016 Ph.D., Biostatistics, The University of Queensland Australia.
2011 B.S. Biology, Grand Valley State University, Animal Emphasis
Dr. Tian’s research concentrates on the developing and applying a variety of statistical models and methodologies in agriculture, animal science, biomedical science, epidemiology and natural resources. She is interested in analysis and interpretation of application of statistical models, data mining and data inference. Currently, her research evaluates novel predictor variables of government culling strategy for chronic wasting disease (CWD), prediction prevalence, genetic analysis, mechanisms of CWD transmission, and landscape connectivity to CWD in white-tailed deer.
Sheena J. Dorak, Michelle L. Green, Michelle M. Wander, Marilyn O. Ruiz, Michael G. Buhnerkempe, Ting Tian, Jan E. Novakofski, and Nohra E. Mateus-Pinilla. (2017). Clay content and pH: soil characteristic associations with the persistent presence of chronic wasting disease in northern Illinois, Scientific Reports, 7: 18062.doi:10.1038/s41598-017-18321-x
Ting Tian, Geoffrey J. McLachlan, Mark J. Dieters, and Kaye E. Basford. (2015). Application of multiple imputation on incomplete three-way three-mode multi-environment trial data, PLoS ONE, 10(12). doi: 10.1371/journal.pone.0144370
Vivi N. Arief, Ian H. DeLacy, Jose Crossa, Thomas Payne, Ravi Singh, Hans-J. Braun, Ting Tian, Kaye E. Basford, and Mark J. Dieters. (2014). Evaluating Testing Strategies for Plant Breeding Field Trials: Redesigning a CIMMYT International Wheat Nursery, Crop Science, Vol.55 No.1, p.164-177. doi:10.2135/cropsci2014.06.0415
You-Gan Wang, and Ting Tian. (2013). Sediment concentration prediction and statistical evaluation for annual load estimation, Journal of Hydrology, Vol.482, p.69-78. doi: 10.1016/j.jhydrol.2012.12. 043
Poster: Effects of landscape and disease management strategy on control of Chronic Wasting Disease in Illinois (Illinois Chapter of The Wildlife Society 2018 Annual Meeting)