Abstract Background We suggest an adaptive sample size calculation method for developing clinical prediction models, in which model performance is monitored sequentially as new data comes in. Methods illustrate the approach using diagnosis of ovarian cancer ( n = 5914, 33% event fraction) and obstructive coronary artery disease (CAD; 4888, 44% fraction). used logistic regression to develop a co...
