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.
Provides 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.
This 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.
With 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.
It 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.
This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care.
Intended Audience: Representing the vanguard of research methods for the 21st century, this book is an invaluable resource for graduate students and researchers who want a comprehensive, authoritative resource for practical and sound advice ...
This 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.
Zhou and Kim (2012) provided a unified approach of the PS estimation under parametric models for the propensity scores with monotone missing data. The second approach is to artificially create a dataset with monotone missing data by ...
The book considers how we might delay or slow down the progressive, generalised impairment of function that occurs at the individual, body system and cellular levels, as people grow older.
This User’s Guide is a resource for investigators and stakeholders who develop and review observational comparative effectiveness research protocols.