Sensitivity Analysis for Unobserved Confounding

How to know the unknowable in observational studies

Outline

1. Introduction
2. Problem Setup
   2.1. Causal Graph
   2.2. Model With and Without Z
   2.3. Strength of Z as a Confounder
3. Sensitivity Analysis
   3.1. Goal
   3.2. Robustness Value
4. PySensemakr
5. Conclusion
6. Acknowledgements
7. References

1. Introduction

The specter of unobserved confounding (aka omitted variable bias) is a notorious problem in observational studies. In most observational studies, unless we can reasonably assume that treatment assignment is as-if random as in a natural experiment, we can never …

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