Nomogram Generator
Build a visual nomogram for a clinical prediction model from binary logistic regression. Paste data, choose the outcome and predictors, and the tool automatically fits the regression and generates the nomogram — turning the regression equation into an intuitive scoring chart of "look up points per factor → total points → predicted probability". The standard presentation for clinical prediction-model research.
① Paste data (with header)
First row is column names, one case per row. The outcome variable must be 0/1. Predictors currently support continuous variables. You can paste a whole block from Excel.
How to use & methodology
What is a nomogram?
A nomogram is the most common way to visualise a clinical prediction model, turning a logistic or Cox regression equation into a graphic: each predictor is a scaled line, you read each variable's points from the patient's value, sum them to a total, and map it to the outcome probability. It turns a complex regression model into a scoring tool clinicians can use directly.
How do I read a nomogram?
① Find a variable's row and locate the patient's value; ② read straight up to the top Points axis for that variable's score; ③ sum all variables' scores to get Total Points; ④ from Total Points read straight down to the bottom probability axis for the predicted outcome probability.
Why do more influential variables have a wider scale span?
The nomogram allocates points by each variable's contribution to the outcome (regression coefficient × range of values). The largest contributor fills the full 0–100 points; others are shortened proportionally. So a wider scale span means a larger influence on the prediction, intuitively reflecting variable importance.
What else is needed after modelling?
The nomogram only presents the model. A complete clinical prediction-model study also evaluates performance: discrimination (C-index or AUC), calibration (calibration curve), and internal/external validation (e.g. bootstrap, cross-validation). These can be done with this site's ROC tool and dedicated software and reported together.