Nomograms are created using statistical models that incorporate various prognostic factors, such as age, tumor size, histopathological features, and biomarkers. Data from large patient cohorts are analyzed to identify the most significant factors, which are then used to build predictive models. The development process often involves regression analysis and validation in independent patient cohorts to ensure accuracy and reliability.
