Dr. Mengli Xiao is an assistant professor-research in the Department of Biostatistics & Informatics and a faculty member at the Center for Innovative Design & Analysis (CIDA). Her methodological research interests include meta-analysis, data integration, data heterogeneity and replicability, and statistical learning. She is particularly interested in collaborative research that uses clinical trials and real-world evidence to improve healthcare quality and equity. Dr. Xiao received her PhD in Biostatistics from the University of Minnesota-Twin Cities under the supervision of Dr. Haitao Chu.
Areas of Expertise
- Meta-analysis
- Data Integration
- Machine Learning
- Observational Studies
- Bayesian Inference
Education, Licensure & Certifications
- PhD, Biostatistics, University of Minnesota-Twin Cities, 2022
- MS, Biostatistics, University of Minnesota-Twin Cities, 2018.
Awards
- ENAR Distinguished Student Paper Award, International Biometric Society, 2022.
Research
- Gutama B, Wothe JK, Xiao M, Hackman D, Chu H, Rickard J (2022). Splenectomy versus Imaging-Guided Percutaneous Drainage for Splenic Abscess: A Systematic Review and Meta-Analysis. Surg Infect (Larchmt), 23(5):417-429.
- Xiao M, Chen Y, Cole SR, MacLehose RF, Richardson DB, Chu H (2022). Controversy and Debate: Questionable utility of the relative risk in clinical research: Paper 2: Is the Odds Ratio "portable" in meta-analysis? Time to consider bivariate generalized linear mixed model. J Clin Epidemiol, 142:280-287. DOI: 10.1016/j.jclinepi.2021.08.004.
- Xiao M, Chu H, Cole SR, Chen Y, MacLehose RF, Richardson DB, Greenland S (2022). Controversy and Debate: Questionable utility of the relative risk in clinical research: Paper 4: Odds Ratios are far from "portable" - A call to use realistic models for effect variation in meta-analysis. J Clin Epidemiol, 142:294-304. DOI: 10.1016/j.jclinepi.2021.08.002.
- Xiao M, Lin L, Hodges JS, Xu C, Chu H (2021). Double-zero-event studies matter: A re-evaluation of physical distancing, face masks, and eye protection for preventing person-to-person transmission of COVID-19 and its policy impact. J Clin Epidemiol, 133:158-160.
- Xiao M, Shen X, Pan W (2019). Application of deep convolutional neural networks in classification of protein subcellular localization with microscopy images. Genet Epidemiol, 43(3):330-341.