Practical Propensity Score Methods Using R, by Walter Leite

This practical book uses a step-by-step analysis of realistic examples to help students understand the theory and code for implementing propensity score analysis with the R statistical language. 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. Readers will find that this scaffolded approach to R and the book’s free online resources help them apply the text’s concepts to the analysis of their own data.

Chapter 1. Overview of Propensity Score Analysis

Chapter 2. Propensity Score Estimation

Chapter 3. Propensity Score Weighting

Chapter 4. Propensity Score Stratification

Chapter 5. Propensity Score Matching

Chapter 6. Propensity Score Methods for Multiple Treatments

Chapter 7. Propensity Score Methods for Continuous Treatment Doses

Chapter 8. Propensity Score Analysis With Structural Equation Models

Chapter 9. Weighting Methods for Time-Varying Treatments

Chapter 10. Propensity Score Methods With Multilevel Data