Propensity Score Methods and Applications
- ISBN-10
- 150637803X
- ISBN-13
- 9781506378039
- Category
- Social Science
- Pages
- 136
- Language
- English
- Published
- 2018-11-20
- Publisher
- SAGE Publications
- Authors
- M. H. Clark, Haiyan Bai
Description
A concise, introductory text, Propensity Score Methods and Applications describes propensity score methods (PSM) and how they are used to balance the distributions of observed covariates between treatment conditions as a means to reduce selection bias. This new QASS title specifically focuses on the procedures of implementing PSM for research in social sciences, instead of merely demonstrating the effectiveness of the method. Using succinct and approachable language to introduce the basic concepts of PSM, authors Haiyan Bai and M. H. Clark present basic concepts, assumptions, procedures, available software packages, and step-by-step examples for implementing PSM using real-world data, with exercises at the end of each chapter allowing readers to replicate examples on their own.
Get the book
Other editions
Similar books
-
Propensity Score Analysis
By Mark W. Fraser, Shenyang GuoProvides readers with a systematic review of the origins, history, and statistical foundations of Propensity Score Analysis (PSA) and illustrates how it can be used for solving evaluation and causal-inference problems.
-
Propensity score methods and applications
By Haiyan Bai, Margaret Hilary ClarkA concise, introductory text, Propensity Score Methods and Applications describes propensity score methods (PSM) and how they are used to balance the distributions of observed covariates between treatment conditions as a means to reduce ...
-
Propensity Score Analysis: Fundamentals and Developments
By Haiyan Bai, Wei PanThis book is designed to help researchers better design and analyze observational data from quasi-experimental studies and improve the validity of research on causal claims.
-
Practical Propensity Score Methods Using R
By Walter LeiteWith a comparison of both well-established and cutting-edge propensity score methods, the text highlights where solid guidelines exist to support best practices and where there is scarcity of research.
-
Using Propensity Scores in Quasi-Experimental Designs
By William M. HolmesIt does not do well when the cluster sizes are small and the intraclass correlation of the groups is high (Rabe-Hesketh et al., 2002). MQL and PQL provide some evidence as to whether the estimation model is properly identified.
-
Secondary Analysis of Electronic Health Records
By MIT Critical DataThis book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care.
-
Methods in Comparative Effectiveness Research
By Sally C. Morton, Constantine GatsonisThis volume covers the main areas of quantitative methodology for the design and analysis of CER studies. The volume has four major sections—causal inference; clinical trials; research synthesis; and specialized topics.
-
A Life Course Approach to Healthy Ageing
By Rachel Cooper, Rebecca Hardy, Yoav Ben-ShlomoThis title investigates the lifetime determinants of healthy ageing and their implications for policy and practice, bringing together authorities in ageing research and knowledge transfer from across the world.
-
The Encyclopedia of Research Methods in Criminology and Criminal Justice, 2 Volume Set
By David R. Forde, J. C. BarnesThis invaluable reference work: Offers a comprehensive survey of international research designs, methods, and statistical techniques Includes contributions from leading figures in the field Contains data on criminology and criminal justice ...
-
Developing a Protocol for Observational Comparative Effectiveness Research: A User's Guide
By Agency for Health Care Research and QualityThis User’s Guide is a resource for investigators and stakeholders who develop and review observational comparative effectiveness research protocols.