Propensity Score Analysis Statistical Methods and Applications

ISBN-10: 1452235007
ISBN-13: 9781452235004
Edition: 2nd 2015
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Description: Propensity Score Analysis provides readers with a systematic review of the origins, history, and statistical foundations of PSA and illustrates how it can be used for solving evaluation and causal-inference problems. With a strong focus on practical  More...

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Book details

List price: $84.00
Edition: 2nd
Copyright year: 2015
Publisher: SAGE Publications, Incorporated
Publication date: 7/11/2014
Binding: Hardcover
Pages: 448
Size: 7.50" wide x 9.25" long x 1.25" tall
Weight: 1.980
Language: English

Propensity Score Analysis provides readers with a systematic review of the origins, history, and statistical foundations of PSA and illustrates how it can be used for solving evaluation and causal-inference problems. With a strong focus on practical applications, the authors explore various strategies for employing PSA. In addition, they discuss the use of PSA with althernative types of data and limitations of PSA under a variety of constraints. Unlike the existing textbooks on program evaluation and causal inference, Propensity Score Analysis delves into statistical concepts, formulas, and models in the context of a robust and engaging focus on application.

Shenyang Guo, Ph.D., is a Professor at UNC. He has a MA in economics from Fudan University and a Ph.D. in Sociology from the University of Michigan.� He has done post-doctoral 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 leads 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 NIDA 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 multi-level 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.

Mark W. Fraser, Ph.D., 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 won numerous awards for research and teaching, including the Aaron Rosen Award and the Distinguished Achievement Award from the Society for Social Work and Research. His work focuses on risk and resilience, child behavior, child and family services, and research methods. He has published widely and, in addition to Social Policy for Children and Families, is the co-author or editor of eight 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, substance abuse, and other social problems. In Making Choices, Dr. Fraser and his co-authors outline a program to help children build sustaining social relationships. In The Context of Youth Violence, he explores violence from the perspective of resilience, risk, and protection, and in Intervention with Children and Adolescents, Dr. Fraser and his colleagues review advances in intervention knowledge for social and health problems. Intervention Research: Developing Social Programs describes the design and development of social programs. His most recent book is Propensity Score Analysis: Statistical Methods and Applications. Dr. Fraser serves as editor of the Journal of the Society for Social Work and Research. He is a fellow of the National Academies of Practice and the American Academy of Social Work and Social Welfare.

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