Real World Health Care Data Analysis

Chapter 9: Putting It All Together: Model Averaging

9.1 Introduction

9.2 Model Averaging for Comparative Effectiveness

9.2.1 Selection of Individual Methods

9.2.2 Computing Model Averaging Weights

9.2.3 The Model Averaging Estimator and Inferences

9.3 Frequentist Model Averaging Example Using the Simulated REFLECTIONS Data

9.3.1 Setup: Selection of Analytical Methods

9.3.2 SAS Code

9.3.3 Analysis Results

9.4 Summary

References

9.1 Introduction

In Chapters 4–8, we reviewed and implemented a wide variety of methods for estimating the causal effect of a treatment intervention of interest relative to a control. In fact, each of these methods was applied to estimate causal treatment effects using either the REFLECTIONS or PCI15K data sets. The natural ...