Analysis of Observational Health Care Data Using SAS

Chapter 7

Local Control Approach Using JMP

Robert L. Obenchain

Abstract

7.1 Introduction

7.2 Some Traditional Analyses of Hypothetical Patient Registry Data.

7.3 The Four Phases of a Local Control Analysis

7.4 Conclusion

Acknowledgments

Appendix

References.

 

Abstract

The local control approach to adjustment for treatment selection bias and confounding in observational studies is illustrated here using JMP because local control is best implemented and applied in highly visual ways. The local control approach is also unique because it hierarchically clusters patients in baseline covariate x-space; applies simple nested analysis of variance (ANOVA) models (treatment within cluster); and ends up being highly flexible, non-parametric, and robust. ...