[Free Ebook.qDkv] The Statistical Evaluation of Medical Tests for Classification and Prediction (Oxford Statistical Science Series)
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Book Details :
Published on: 2004-12-16
Released on:
Original language: English
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This book describes statistical concepts and techniques for evaluating medical diagnostic tests and biomarkers for detecting disease. More generally, the techniques pertain to the statistical classification problem for predicting a dichotomous outcome. Measures for quantifying test accuracy are described including sensitivity, specificity, predictive values, diagnostic likelihood ratios and the Receiver Operating Characteristic Curve that is commonly used for continuous and ordinal valued tests. Statistical procedures are presented for estimating and comparing them. Regression frameworks for assessing factors that influence test accuracy and for comparing tests while adjusting for such factors are presented. This book presents many worked examples of real data and should be of interest to practicing statisticians or quantitative researchers involved in the development of tests for classification or prediction in medicine. The WEKA Data Mining Software: an Update More than twelve years have elapsed since the first public release of WEKA. In that time the software has been rewritten entirely from scratch evolved substantially ... ClassZone ClassZone Book Finder. Follow these simple steps to find online resources for your book. Anomaly detection - ACM Digital Library Anomaly detection is an important problem that has been researched within diverse research areas and application domains. Many anomaly detection techniques have been ... Twitpic - Share photos and videos on Twitter 2017 Twitpic Inc All Rights Reserved. Home Contact Terms Privacy Statistics - Wikipedia Scope. Statistics is a mathematical body of science that pertains to the collection analysis interpretation or explanation and presentation of data or as a branch ... Statistical Thinking for Managerial ... - home.ubalt.edu Introduction to Statistical Thinking for Decision Making. This site builds up the basic ideas of business statistics systematically and correctly. Books@Ovid 100 Cases for Medical Data Interpretation; 100 Cases in Acute Medicine; 100 Cases in Dermatology; 100 Cases in General Practice; 100 Cases in Orthopaedics and ... Accepted Papers ICML New York City Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues Nihar Shah UC Berkeley Sivaraman Balakrishnan CMU Aditya Guntuboyina ... Statistical inference - Wikipedia Any statistical inference requires some assumptions. A statistical model is a set of assumptions concerning the generation of the observed data and similar data. Time Series Analysis for Business Forecasting Clearly if you are seeking to improve a system's performance an operational view is really what you are after. Such a view gets at how a forecasting system really ...
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