Description
Dr. Yuehua Cui
Professor of Statistics, Department of Statistics and Probability
Michigan State University
“Causal inference with Mendelian randomization in biomedical studies”
Mendelian Randomization (MR) is a novel method used to understand the cause-and-effect relationship between a risk factor and a disease using observational data. In this talk, I will introduce two methods we have developed for MR analysis. The first method, MR-SPLIT, is designed to handle weak instruments and selection bias in one-sample MR analysis based on individual-level data. The second project focuses on longitudinal MR analysis, which helps us understand how the timing of exposure affects disease development over time. Through simulations and real-world examples, I will show how these methods help uncover the causes of diseases, offering novel insights into the complexity of human diseases. These methods are useful for researchers in various fields, including health professionals, to establish causality in their studies and highlight the growing potential of MR in the genomic era.
Biography
Dr. Yuehua Cui is a Professor and Graduate Program Director in the Department of Statistics and Probability at Michigan State University (MSU). He earned his Ph.D. in Statistics from the University of Florida in 2005 and has been a faculty member at MSU since then. Dr. Cui's research focuses on developing statistical and computational methods for genetic and genomic data analysis, with expertise in mediation analysis, causal inference with Mendelian randomization, spatial transcriptomics, multi-omics data integration, and applied functional and longitudinal data analysis. His work has been supported by the NSF, NIH, and other funding agencies, and he has authored over 100 journal articles, making significant contributions to statistical genetics and genomics. Dr. Cui serves on the editorial boards of several journals, including Statistics and Probability Letters, BMC Genomics Data, and Computational and Structural Biotechnology Journal. He is an elected Fellow of the American Statistical Association (ASA) and an elected member of the International Statistical Institute (ISI)
Featuring: Dr. Yuehua Cui, Professor of Statistics, Michigan State University
Location
BB 1.01.20L, Multipurpose Room
Category:
Campus Events
