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KonFound-It!
What KonFound-It! is
KonFound-It! is a free web project offering interactive sensitivity analyses for researchers, policy makers and pragmatists evaluating statistical inferences. Its methods examine how omitted variables and other bias could affect a conclusion. Robustness of Inference to Replacement, or RIR, estimates how much of an observed effect would need to be bias-driven, or how many cases would need replacement by cases showing no effect, to change an inference. Impact Threshold for a Confounding Variable, or ITCV, estimates the correlations an omitted variable would need with a predictor and outcome to invalidate an inference; the FAQ presents it for linear models. A browser Shiny app runs without installation and is built on the konfound R package. The project also provides an R package, a Stata command, a What Works Clearinghouse benchmark tool and a Practical Guide. The R package includes mkonfound() for comparing or synthesizing analyses and is MIT licensed.
Who it suits
KonFound-It! suits researchers, policy makers and pragmatists assessing the robustness of statistical results. It supports users working in a browser, R or Stata.
What it does well
- Free browser app runs without installation
- Provides R and Stata analysis tools
- Includes RIR and ITCV methods
- Offers What Works Clearinghouse benchmark analyses
- R package is MIT licensed
What to know first
- No dedicated multinomial-outcome module
- Machine-learning and fixed-effects models are under development
- ITCV needs caution with non-OLS standard errors
Verdict
KonFound-It! offers several free routes for sensitivity analysis, from a browser app to R and Stata tools. Its documented model gaps and ITCV caveat matter when selecting methods for a specific analysis.
Facts from KonFound-It!'s own pages
- Audience
- The project describes its intended users as researchers, policy makers, and pragmatists evaluating statistical inferences. · konfound-it.org, 12 Oct 2026
- Benchmark tool
- The project provides an interactive tool for sensitivity analyses calculated for the What Works Clearinghouse benchmark dataset. · konfound-it.org, 11 Oct 2026
- Bias analysis
- The project develops sensitivity analyses that quantify how robust inferences are to omitted variables and other sources of bias. · konfound-it.org, 11 Oct 2026
- Browser app
- The Shiny app runs sensitivity analyses in a web browser without requiring software installation. · konfound-it.org, 12 Oct 2026
- Deployment
- both · konfound-it.org, 23 Sept 2026
- Free plan
- Yes · konfound-it.org, 23 Sept 2026
- Guidance
- The Practical Guide is intended to help implement ITCV and RIR sensitivity analyses. · konfound-it.org, 11 Oct 2026
- ITCV
- Impact Threshold for a Confounding Variable estimates how strongly an omitted variable would need to relate to the predictor and outcome to change an inference. · konfound-it.org, 12 Oct 2026
- ITCV caveat
- The package documentation cautions that ITCV was originally derived for OLS standard errors and should be interpreted cautiously when reported standard errors are not OLS-based. · konfound-it.org, 12 Oct 2026
- Known limitation
- The FAQ says there is currently no module specifically designated for multinomial outcomes. · konfound-it.org, 12 Oct 2026
- Known model gaps
- The FAQ says there is no module specifically designated for multinomial outcomes, and that predictive models using machine learning and fixed effects are under development. · konfound-it.org, 11 Oct 2026
- License
- The konfound R package is listed as MIT licensed. · konfound-it.org, 12 Oct 2026
- Maker
- The site describes KonFound-It! as a project run by a group of researchers spanning multiple institutions. · konfound-it.org, 11 Oct 2026
- Meta-analysis
- The R package includes mkonfound() for comparing or synthesizing sensitivity analyses across multiple analyses. · konfound-it.org, 12 Oct 2026
- Purpose
- KonFound-It! provides sensitivity analyses to evaluate how robust statistical inferences are to potential bias. · konfound-it.org, 12 Oct 2026
- Regression models
- Yes · konfound-it.org, 23 Sept 2026
- RIR
- Robustness of Inference to Replacement estimates how much of an observed effect would need to be bias-driven to change an inference. · konfound-it.org, 12 Oct 2026
- R package
- The konfound R package supports sensitivity analysis for models fit in R and published study results. · konfound-it.org, 12 Oct 2026
- Scripting support
- Yes · konfound-it.org, 23 Sept 2026
- Security
- The pages opened describe the browser app and software packages but do not state security or compliance claims. · konfound-it.org, 11 Oct 2026
- Stata package
- The project provides a Stata command for quantifying the robustness of causal inferences. · konfound-it.org, 12 Oct 2026
- Statistical tests
- Yes · konfound-it.org, 23 Sept 2026
- Support
- The team directs general questions and support to its Google Group community forum. · konfound-it.org, 12 Oct 2026
- WWC benchmarks
- A dedicated interactive tool presents sensitivity analyses calculated for the What Works Clearinghouse benchmark dataset. · konfound-it.org, 12 Oct 2026
Where KonFound-It! stands on Freedom251
- Statistical Analysis Software#61 of 106