Feb. 13, 2024, 12:27 a.m. | Ugur Yildirim

Towards Data Science - Medium towardsdatascience.com

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 …

causal inference confounding editors pick observational-studies sensitivity-analysis

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