Product details

By continuing to use our site you consent to the use of cookies as described in our privacy policy unless you have disabled them.
You can change your cookie settings at any time but parts of our site will not function correctly without them.
Supplementary software
-
Reference no. UVA-QA-0704X
Published by: Darden Business Publishing
Originally published in: 2013
Version: 21 March 2013
Format: .xls
Data source: Field research
Topics: Data analysis

Abstract

This software is to accompany the case. 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.

About

Abstract

This software is to accompany the case. 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.

Settings


Related