Title: Design and analysis of experiments in the health sciences
Description: "This volume provides technical professionals and students with three uniquely integrative enhancements to the study of predictive modeling not typically found in data-mining books: an applied approach, immediate practice using Microsoft Excel, and easy-to-use access to multiple online model-building tools. Since actual datasets are employed, users deal with real-life modeling issues and situations such as handling missing values, applying variable transformations, and addressing outliers, among others. An easy-to-learn Microsoft Excel add-in (Predictive MinerXL) and all applicable datasets are available for free on an associated Web site"--
Subjects: Statistical methods, MATHEMATICS / Probability & Statistics / General, Medical informatics, Medical sciences, Experimental design, Research Design, Statistics as Topic