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- KonFound-It!
On the recordRead 12 Oct 202624 facts
KonFound-It!
On the record
- Audience
- The project describes its intended users as researchers, policy makers, and pragmatists evaluating statistical inferences.konfound-it.org · read 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 · read 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 · read 11 Oct 2026
- Browser app
- The Shiny app runs sensitivity analyses in a web browser without requiring software installation.konfound-it.org · read 12 Oct 2026
- Deployment
- bothkonfound-it.org · read 23 Sep 2026
- Guidance
- The Practical Guide is intended to help implement ITCV and RIR sensitivity analyses.konfound-it.org · read 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 · read 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 · read 12 Oct 2026
- Known limitation
- The FAQ says there is currently no module specifically designated for multinomial outcomes.konfound-it.org · read 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 · read 11 Oct 2026
- License
- The konfound R package is listed as MIT licensed.konfound-it.org · read 12 Oct 2026
- Maker
- The site describes KonFound-It! as a project run by a group of researchers spanning multiple institutions.konfound-it.org · read 11 Oct 2026
- Meta-analysis
- The R package includes mkonfound() for comparing or synthesizing sensitivity analyses across multiple analyses.konfound-it.org · read 12 Oct 2026
- Purpose
- KonFound-It! provides sensitivity analyses to evaluate how robust statistical inferences are to potential bias.konfound-it.org · read 12 Oct 2026
- Regression models
- Yeskonfound-it.org · read 23 Sep 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 · read 12 Oct 2026
- R package
- The konfound R package supports sensitivity analysis for models fit in R and published study results.konfound-it.org · read 12 Oct 2026
- Scripting support
- Yeskonfound-it.org · read 23 Sep 2026
