United States

Prof. Lianfen Qian | Pandemic Preparedness | Best Researcher Award

Professor | The University of Arizona | United States

Dr. Lianfen Qian is a distinguished biostatistician and Professor of Practice at the University of Arizona, with extensive expertise in developing and applying statistical methodologies to biomedical, environmental, and genomic research. She earned her B.S. and M.S. in Mathematics and Statistics from Zhejiang University, China, and her Ph.D. in Statistics from Michigan State University. Dr. Qian’s research focuses on survival analysis, longitudinal data modeling, semi-competing risks, and structural change detection. Her work has been widely published in leading journals such as Biometrika, Computational Statistics & Data Analysis, and Frontiers in Cellular and Infection Microbiology. A seasoned educator and mentor, she has guided numerous Ph.D. and M.S. students, with one of her mentees earning first place in the 2015 ASA/CAUSE Undergraduate Research Project Competition. She has also served in leadership roles for the American Statistical Association’s South Florida Chapter and contributed as an NSF panelist. Dr. Qian’s career includes academic appointments at Florida Atlantic University and Lynn University, along with her leadership of Mathematics and Data Science, LLC. Her numerous honors include the ASA Award for Outstanding Chapter Service, NSF travel and research awards, and recognition in Who’s Who in America. She has collaborated on research projects funded by the NSF, NCI, and DoD, and continues to contribute to advancing data-driven research and interdisciplinary science. (Document: Lianfen Qian,

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Heilmayer, O., Digialleonardo, J., Qian, L., & Roesijadi, G. (2008). Stress tolerance of a subtropical Crassostrea virginica population to the combined effects of temperature and salinity. Estuarine, Coastal and Shelf Science, 79(1), 179–185. Cited by 100.

2. Wang, S., Qian, L., & Carroll, R. J. (2010). Generalized empirical likelihood methods for analyzing longitudinal data. Biometrika, 97(1), 79–93. Cited by 78.

3. Koul, H. L., Qian, L., & Surgailis, D. (2003). Asymptotics of M-estimators in two-phase linear regression models. Stochastic Processes and Their Applications, 103(1), 123–154. Cited by 72.

4. Gan, W., Bragg, F., Walters, R. G., Millwood, I. Y., Lin, K., Chen, Y., Guo, Y., … (2019). Genetic predisposition to type 2 diabetes and risk of subclinical atherosclerosis and cardiovascular diseases among 160,000 Chinese adults. Diabetes, 68(11), 2155–2164. Cited by 71.

5. Xu, Y., Chen, B., Qian, W., & Li, H. (2013). Properties of pure n-butylammonium nitrate ionic liquid and its binary mixtures with alcohols at T = 293.15 to 313.15 K. The Journal of Chemical Thermodynamics, 58, 449–459. Cited by 70.

Lianfen Qian | Pandemic Preparedness | Best Researcher Award

You May Also Like