# Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding

@article{Veitch2020SenseAS, title={Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding}, author={Victor Veitch and A. Zaveri}, journal={ArXiv}, year={2020}, volume={abs/2003.01747} }

It is a truth universally acknowledged that an observed association without known mechanism must be in want of a causal estimate. However, causal estimation from observational data often relies on the (untestable) assumption of `no unobserved confounding'. Violations of this assumption can induce bias in effect estimates. In principle, such bias could invalidate or reverse the conclusions of a study. However, in some cases, we might hope that the influence of unobserved confounders is weak… Expand

#### Supplemental Code

Github Repo

Via Papers with Code

Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".

#### 7 Citations

Copula-based Sensitivity Analysis for Multi-Treatment Causal Inference with Unobserved Confounding

- Mathematics
- 2021

Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction

- Computer Science
- ArXiv
- 2021

Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding

- Computer Science, Mathematics
- ArXiv
- 2021

#### References

SHOWING 1-10 OF 25 REFERENCES

Assessing Sensitivity to an Unobserved Binary Covariate in an Observational Study with Binary Outcome

- Mathematics
- 1983

Bias Formulas for Sensitivity Analysis of Unmeasured Confounding for General Outcomes, Treatments, and Confounders

- Mathematics, Medicine
- Epidemiology
- 2011

Sensitivity analysis for inverse probability weighting estimators via the percentile bootstrap

- Mathematics
- 2017

Bounds on the conditional and average treatment effect with unobserved confounding factors

- Mathematics
- 2018

Sensitivity analysis for causal inference using inverse probability weighting.

- Mathematics, Medicine
- Biometrical journal. Biometrische Zeitschrift
- 2011

A flexible, interpretable framework for assessing sensitivity to unmeasured confounding

- Computer Science, Medicine
- Statistics in medicine
- 2016