My research focuses on the study and design of statistical methods for integrative data analysis. I’m interested in innovating statistical methods that efficiently integrate multi-source, multi-resolution information to solve real-life problems.
Digital disease detection
Unemployment tracking with Google search data
Cancer omics integration
Bayesian phylogenetic models
Nonparametric Bayesian models
Copula models
Causal inference
Ning, S., Hussain, A., Wang, Q. (2024+) Incorporating Connectivity among Internet Search Data for Enhanced Influenza Tracking. PLOS One. Preprint.
Ma, S., Ning, S., Yang, S. (2023) Joint COVID-19 and Influenza-like Illness in the United States Forecasts Using Internet Search Information. Communications Medicine, 3(1), 39.
Topaz, C. M., Ning, S., Ciocanel, M. V., Bushway, S. (2023) Federal Criminal Sentencing: Race-Based Disparate Impact and Differential Treatment in Judicial Districts. Humanities and Social Sciences Communications, 10(1), 1-10.
Okunoye, B., Ning, S., Jemielniak, D. (2022) Searching for HIV and AIDS Health Information in South Africa, 2004-2019: Analysis of Google and Wikipedia Search Trends. JMIR formative research, 6(3), e29819.
Yi, D., Ning, S., Chang, C., Kou, S.C. (2021) Forecasting Unemployment Using Internet Search Data via PRISM. Journal of the American Statistical Association, 116(536), 1662-1673.
Yang, S.* , Ning, S.*, Kou, S. C. (2021) Use Internet Search Data to Accurately Track State-Level Influenza Epidemics. Scientific Reports, 11, 4023.
Li, H., Ning, S., Ghandi, M., Kryukov, G.V., Gopal, S., Deik, A., Souza, A., Pierce, et al. (2019) The Landscape of Cancer Cell Line Metabolism. Nature Medicine, 25(5), 850.
Ning, S.*, Yang, S.*, Kou, S. C. (2019) Accurate regional influenza epidemics tracking using Internet search data. Scientific Reports, 9, 5238.
Li, Y.* Ning, S.*, Calvo, S. E., Mootha, V. K., Liu, J. S. (2019) Bayesian hidden Markov tree models for clustering genes with shared evolutionary history. Annals of Applied Statistics, 13(1): 606-63. [Software]
Ning, S., Shephard, N. (2018) A nonparametric Bayesian approach to copula estimation. Journal of Statistical Computation and Simulation, 88.6, 1081-1105. [R package]
Ning, S., Xu, H., Al-Shyoukh, I., Feng, J., Sun, R. (2014). An application of a Hill-based response surface model for a drug combination experiment on lung cancer. Statistics in medicine, 33(24), 4227-4236.
Topaz, C. M., Garcia Nueva, B., Izidro de Souza, P, Schumann, J., Shvedova, L., Cai, X., Ning, S. Is Superfund Site Cleanup Related to Racial Demographics? Manuscript [SocArXiv]
Ning, S., Li, H., Liu, J. S. Revealing Drug-Pathway Associations with Integrated Multi-omics Data. Manuscript.
Ning, S., Qu, X., Cai, V., Sanders, N. Clust-LDA: Joint model for text mining and author group inference. Manuscript. [arXiv]