Real World Health Care Data Analysis

Chapter 8: Inverse Weighting and Balancing Algorithms for Estimating Causal Treatment Effects

8.1 Introduction

8.2 Inverse Probability of Treatment Weighting

8.3 Overlap Weighting

8.4 Balancing Algorithms

8.5 Example of Weighting Analyses Using the REFLECTIONS Data

8.5.1 IPTW Analysis Using PROC CAUSALTRT

8.5.2 Overlap Weighted Analysis using PROC GENMOD

8.5.3 Entropy Balancing Analysis

8.5 Summary

References

8.1 Introduction

This chapter demonstrates the use of weighting methods as a tool for causal treatment comparisons using real world data. This includes the use of inverse probability of treatment weighting (IPTW), extensions to doubly robust methods, and newer direct balancing algorithms that can in some circumstances provide exact balance ...