Free Logistic Regression Calculator
✓ Free ✓ No sign-up ✓ Multivariable ✓ ROC curve & AUC included
Fit a multivariable logistic regression on your own data, in your browser, in about a minute. QuickStats reports odds ratios with 95% confidence intervals, draws a forest plot and a ROC curve with AUC, and produces a journal-ready results table you can paste into Word — powered by real R, not a simplified approximation.
Open the logistic regression calculator →How it works
- Upload a CSV, Excel, Stata, SPSS, or SAS file (or try the built-in clinical trial example).
- Choose the outcome — any two-level variable works: 0/1, Yes/No, Case/Control. QuickStats tells you which level it models as the event.
- Tick your predictors — categorical variables are dummy-coded automatically; you can override how variables are treated.
- Fit the model and read odds ratios, CIs, p-values, AUC, and diagnostics. Copy the table or download a full report.
What you get
- Odds ratios (95% CI) and p-values for all predictors, publication-formatted
- ROC curve and AUC with 95% confidence interval (Hanley-McNeil) — the discrimination statistic reviewers ask for
- Forest plot of odds ratios, downloadable as PNG or copyable to your clipboard
- Optional cluster-robust standard errors (sandwich estimator) for clustered designs
- VIF multicollinearity diagnostics and estimated marginal means
- Transparent complete-case reporting: how many observations were excluded for missing data
- An auto-drafted statistical methods paragraph for your manuscript
Also need counts or survival? QuickStats fits Poisson and negative binomial models (incidence rate ratios) and Cox proportional hazards models in the same five-step workflow.
Frequently asked questions
- Can it run multivariable models?
- Yes — any number of predictors, continuous or categorical, with automatic dummy coding.
- Does it produce a ROC curve and AUC?
- Yes, automatically for every logistic model, with a 95% confidence interval for the AUC.
- How are Yes/No outcomes handled?
- Coded automatically, with a notification telling you which level is treated as the event (coded 1).
- Is my data uploaded?
- No — the R engine runs in your browser via WebAssembly. Read how the privacy guarantee works.
More free tools
Table 1 generator · Cox regression & survival analysis · Free SPSS alternative