Kavli Affiliate: Xiang Zhang | First 5 Authors: Douglas Faries, Chenyin Gao, Xiang Zhang, Chad Hazlett, James Stamey | Summary: The assumption of no unmeasured confounders is a critical but unverifiable assumption required for causal inference yet quantitative sensitivity analyses to assess robustness of real-world evidence remains underutilized. The lack of use is likely in […]
Continue.. Real Effect or Bias? Best Practices for Evaluating the Robustness of Real-World Evidence through Quantitative Sensitivity Analysis for Unmeasured Confounding