Sensitivity analyses that quantify the robustness of inferences to concerns about omitted variables and other sources of bias.
Questions? Issues? Suggestions? Reach out through the KounFound-It! Google Group.
Latest News
The R konfound package has had a major update, with version 1.0.2 now available on CRAN. Simply use the command install.packages("konfound") in R to install and library(konfound) to load.
Read an overview of the package at https://konfound-it.org/konfound/, and read through the Introduction to konfound vignette.
Also, be sure to check out an AI-generated podcast, created by Google’s NotebookLM, discussing the KonFound-It! team’s article “Quantifying the robustness of causal inferences: Sensitivity analysis for pragmatic social science” in Social Science Research (Frank, Lin, Xu, Maroulis, & Mueller, 2023):
Sign up today for the next KonFound-It project workshop facilitated by Dr. Ken Frank: Sensitivity Analysis for Causal Inference. The workshop will take place fully online March 5–6, 2025 (10:30am–12:30pm and 1:00pm–3:00pm Eastern time both days).
Start KonFounding
Try out KonFound-It! to calculate sensitivity analyses through an interactive web app.
Benchmarks
Explore sensitivity analyses calculated for the What Works Clearinghouse through an interactive web app.
Learn More
Browse through a variety of resources and guides.