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Thematic Course: Propensity Score Analysis
Release time: 2019-12-17 Unit: School of Statistics Browse: Times

倾向值分析Thematic Course: Propensity Score Analysis

Speaker: Guo Shenyang

下午14:00—17:00 Lecture time: December 20, 2019 (Friday) 8: 30-11: 30, 14: 00-17: 00

下午14:00—17:00 December 21, 2019 (Saturday) 8: 30-11: 30, 14: 00-17: 00

Venue: Room 204, MBA Classroom, Xuejing Hotel Yanshan Campus

Organizers: Graduate School, School of Statistics


About the Instructor:

Shenyang Guo, Ph.D., is Frank J Bruno Distinguished Professor at Brown School of Washington University in St Louis, the Yangtze River Scholar at Xi'an Jiaotong University, and the fellow of American Academy of Social Work and Social Welfare. 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, Second Edition (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 80 journal articles and book chapters. He is on the editorial boards of Social Service Review, Journal of the Society for Social Work and Research, and Children and Youth Services Review. He teaches graduate courses on survival analysis, hierarchical linear modeling, growth curve mo deling, structural equation modeling, and propensity score analysis.

Guo Shenyang, bachelor and master of economics from Fudan University, graduated from the first sociology class of Nankai University, Ph.D. in sociology from the University of Michigan, USA, is currently Frank J Brun Distinguished Professor at St. Louis University in Washington, USA, and professor of Yangtze River Scholars at Xi'an Jiaotong University, USA Member of the Academy of Social Work and Social Welfare. He has taught courses in statistics and quantitative research methods for doctoral students, and has published more than 100 papers in the fields of dynamic research, multi-level research, structural equation modeling, event history research, propensity value matching, kernel matching, project evaluation and other methods and their applications. The book or co-author "Analysis of Tendency", "Analysis of Survival", "Structural Equation Model". He has been invited to give lectures on statistical analysis in the summer classes of the National Institutes of Health, UNICEF, and the National Social Work Research Conference. Former Chairman of the Working Group on Applied Statistics at the Orton Institute at the University of North Carolina. Research topics include child welfare, the poor, welfare policies and reforms, and support for the elderly. Served as a member of the Social Services Overview Editorial Board, often reviewing articles for a variety of magazines, and often being invited to comment on complex statistical methods with controversial manuscripts.

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