Learn more and register: https://statisticalhorizons.com/seminars/sensitivity-analysis-causal-inference/
Explore the first hour of Kenneth Frank’s seminar on “Sensitivity Analysis for Causal Inference,” where he introduces key concepts and sets the foundation for exploring robust causal inference techniques.
About this Seminar
This seminar provides hands-on experience with two techniques for quantifying the sensitivity of causal inferences: Robustness of Inference to Replacement (RIR) and Impact Threshold for a Confounding Variable (ITCV). These techniques can be adapted to a range of analyses, including logistic regression, propensity-based approaches, and multilevel models. You’ll learn to apply and understand these techniques and conduct sensitivity analyses in R, Stata, or the on-line app https://konfound-project.shinyapps.io/konfound-it/. Designed for researchers, policymakers, and clinicians, this seminar equips you with the skills to address challenges to an inference and strengthen discourse around causal evidence.
https://statisticalhorizons.com/seminars/sensitivity-analysis-causal-inference/