The case asks students to develop a method for identifying individuals at risk of having chronic kidney disease. A 6,000-subject training set containing 34 potential predictor variables is provided along with a 2,819 subject validation set the instructor uses to evaluate student predictions. The case is based on an actual study which resulted in a simple nine-question survey that health professionals use to help patients decide whether to be tested for chronic kidney disease.