Shenyang Guo, PhD, is a Professor at the University of North Carolina (UNC) at Chapel Hill. He has done postdoctoral work at Brown University and held research associate or faculty appointments at the University of Michigan, Case Western Reserve University, the University of Tennessee, and the University of North Carolina. He is the author of numerous research reports in child welfare, child mental health services, welfare, and health care. He has expertise in applying advanced statistical models to solving social welfare problems and has taught graduate courses that address event history analysis, hierarchical linear modeling, growth curve modeling, and program evaluation. He has given many invited workshops on statistical methods—including event history analysis and propensity score matching—to NIH Summer Institute, Children’s Bureau, and the Society of Social Work and Research conferences. He is the director of Applied Statistical Working Group at UNC. He led the data analysis planning for the National Survey of Child and Adolescent Well-Being (NSCAW) longitudinal analysis and has developed analytic strategies that address issues of weighting, clustering, growth modeling, and propensity score analysis. He is also directing the analysis of data from the Making Choices Project, a National Institute on Drug Abuse and Institute of Education Sciences funded prevention trial. He has published many articles that include methodological works on the analysis of longitudinal data, multivariate failure time data, program evaluation, and multilevel modeling. He is on the editorial board of Social Service Review and a frequent guest reviewer for journals seeking a critique of advanced methodological analyses. He has an MA in economics from Fudan University and a Ph.D. in Sociology from the University of Michigan.
Shenyang Guo
Mark W. Fraser, Ph.D.
Dr. Fraser, holds the Tate Distinguished Professorship at the School of Social Work, University of North Carolina where he serves as Associate Dean for Research. He has written numerous articles on risk and resilience, child behavior, child and family services, and research methods. In addition, he is the co-author or editor of nine books. These include Families in Crisis, a study of intensive family-centered services, and Evaluating Family-Based Services, a text on methods for family research. In Risk and Resilience in Childhood, he and his colleagues describe resilience-based perspectives for child maltreatment, school dropout, substance abuse, violence, unwanted pregnancy, and other social problems. In Making Choices, Dr. Fraser and his co-authors outline a program to help children build enduring social relationships with peers and adults. In The Context of Youth Violence, he explores violence from the perspective of resilience, risk, and protection, and in Intervention with Children and Adolescents, Fraser and his colleagues review advances in intervention knowledge for social and health problems. His award-winning text, Social Policy for Children and Families, reviews the bases for public policy in child welfare, juvenile justice, mental health, developmental disabilities, and health. Published in 2009, Intervention Research: Developing Social Programs describes five steps in the design and development of social programs. His most recent book is Propensity Score Analysis: Statistical Methods and Applications.
Reviews and Comments
"The approach the authors take in writing this book is very effective for novices and experiences users...This balance between the practical and applied approach is a useful model for researchers to understand the process and interpretation of these analyses...[it] goes a long way in making propensity score analysis techniques more accessible, understandable, and useful to psychologists."
"Propensity Score Analysis by Shenyang Guo and Mark W. Fraser is an excellent book on estimating treatment effects from observational data. Researchers and graduate students interested in the analysis of observation data will find this book invaluable."
- Stata technical group
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"There are many causal inference books out there, including Rubin's and
Rosenbaum's. This one is completely into propensity scoring and is very
comprehensive and practical. It includes some latest variations. I would
highly recommend it."
- Amazon.com reviewer
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