IBM SPSS Statistics From $79/mo 9.3 Visit KonFound-It!
konfound-it.org
Spec sheet
- Purpose
- KonFound-It! provides sensitivity analyses to evaluate how robust statistical inferences are to potential bias.Read 12 Oct 2026 · konfound-it.org
- Audience
- The project describes its intended users as researchers, policy makers, and pragmatists evaluating statistical inferences.Read 12 Oct 2026 · konfound-it.org
- Deployment
- bothRead 23 Sep 2026 · konfound-it.org
- Free plan
- YesRead 23 Sep 2026 · konfound-it.org
- Security
- The pages opened describe the browser app and software packages but do not state security or compliance claims.Read 11 Oct 2026 · konfound-it.org
- Support
- The team directs general questions and support to its Google Group community forum.Read 12 Oct 2026 · konfound-it.org
- License
- The konfound R package is listed as MIT licensed.Read 12 Oct 2026 · konfound-it.org
- Maker
- The site describes KonFound-It! as a project run by a group of researchers spanning multiple institutions.Read 11 Oct 2026 · konfound-it.org
- Benchmark tool
- The project provides an interactive tool for sensitivity analyses calculated for the What Works Clearinghouse benchmark dataset.Read 11 Oct 2026 · konfound-it.org
- Bias analysis
- The project develops sensitivity analyses that quantify how robust inferences are to omitted variables and other sources of bias.Read 11 Oct 2026 · konfound-it.org
- Browser app
- The Shiny app runs sensitivity analyses in a web browser without requiring software installation.Read 12 Oct 2026 · konfound-it.org
- Guidance
- The Practical Guide is intended to help implement ITCV and RIR sensitivity analyses.Read 11 Oct 2026 · konfound-it.org
- 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.Read 12 Oct 2026 · konfound-it.org
- 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.Read 12 Oct 2026 · konfound-it.org
- Known limitation
- The FAQ says there is currently no module specifically designated for multinomial outcomes.Read 12 Oct 2026 · konfound-it.org
- 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.Read 11 Oct 2026 · konfound-it.org
- Meta-analysis
- The R package includes mkonfound() for comparing or synthesizing sensitivity analyses across multiple analyses.Read 12 Oct 2026 · konfound-it.org
- R package
- The konfound R package supports sensitivity analysis for models fit in R and published study results.Read 12 Oct 2026 · konfound-it.org
- Regression models
- YesRead 23 Sep 2026 · konfound-it.org
- RIR
- Robustness of Inference to Replacement estimates how much of an observed effect would need to be bias-driven to change an inference.Read 12 Oct 2026 · konfound-it.org
- Scripting support
- YesRead 23 Sep 2026 · konfound-it.org
- Stata package
- The project provides a Stata command for quantifying the robustness of causal inferences.Read 12 Oct 2026 · konfound-it.org
- Statistical tests
- YesRead 23 Sep 2026 · konfound-it.org
- WWC benchmarks
- A dedicated interactive tool presents sensitivity analyses calculated for the What Works Clearinghouse benchmark dataset.Read 12 Oct 2026 · konfound-it.org
Where Specifiction places it
- Statistical Analysis Software#79 of 1067.3
