Shenyang Guo, Ph.D., is the Frank J. Bruno Distinguished Professor of Social Work Research in the George Warren Brown School of Social Work at Washington University in St. Louis. He is an expert on the application of advanced statistical models to the solution of social welfare problems.
Guo is the author (with Mark Fraser) of Propensity Score Analysis: Statistical Methods and Applications (2015), a comprehensive guide to the many ways that propensity scores can be used to improve causal inference. Other books include Survival Analysis (2010) and Structural Equation Modeling (2011) (with Natasha Bowen).
He has published more than 60 journal articles and book chapters. He is on the editorial boards of Social Service Review, Journal of the Society for Social Work and Children and Youth Services Review.
Guo was previously a faculty member at the University of North Carolina at Chapel Hill where he taught graduate courses on event history analysis, hierarchical linear modeling, growth curve modeling, structural equation modeling, and program evaluation. There he received many awards for his teaching:
- Dean’s Recognition of Teaching Excellence in the School of Social Work at UNC at Chapel Hill for academic years 2004-05, 2005-06, 2006-07, 2008-09, 2009-10.
- 2010 Distinguished Teaching Award for Post-Baccalaureate Instruction, UNC at Chapel Hill. Read more.
You can visit his Washington University in St. Louis website by clicking here.
Dr. Guo’s books can be found below:
Structural Equation Modeling (2011)
Survival Analysis (2010)