Analysis of Observational Health Care Data Using SAS

Chapter 14

Costs and Cost-Effectiveness Analysis Using Propensity Score Bin Bootstrapping

Douglas E. FariesXiaomei PengRobert L. Obenchain

Abstract

14.1 Introduction

14.2 Propensity Score Bin Bootstrapping

14.3 Example: Schizophrenia Effectiveness Study

14.4 Discussion

References

 

Abstract

Analysis of cost and cost-effectiveness data is of increasing importance among health care decision-makers in today’s economic climate. Propensity score bin bootstrapping is a new analytical approach that addresses three fundamental challenges of observational cost data analysis:

1. the typical skewness of cost distributions

2. the need to estimate mean rather than median or other robust measures

3. the need to adjust for selection bias

In this chapter, an ...