Sensitivity Analysis

Sensitivity analysis tests how sensitive is the effect estimate when we add an additional common cause (confounder) to the dataset that is correlated with the treatment and the outcome? (Hint: It should not be too sensitive)

• Simulation-based sensitivity analysis
  • Automatically inferring effect strength parameters
• Partial-R2 based sensitivity analysis for linear estimators
• Reisz estimator-based sensitivity analysis for non-linear estimators