Free Download The Statistical Evaluation of Medical Tests for Classification and Prediction (Oxford Statistical Science Series)
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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. Receiver operating characteristic - Wikipedia In statistics a receiver operating characteristic curve ie ROC curve is a graphical plot that illustrates the diagnostic ability of a binary classifier system as 18 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 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 - homeubaltedu Introduction to Statistical Thinking for Decision Making This site builds up the basic ideas of business statistics systematically and correctly Evaluation of diagnostic tests for infectious diseases In the absence of a reference standard the performance of the test under evaluation can be compared to an existing test using a 2 2 table which shows how the Statistics Current - Textbook - Quest Support Test Hypotheses Differences Groups Statistical Advisor Test Hypotheses Regarding Differences between Groups or Variables The distinction between: Statistical Inference (and What is Wrong With Classical Statistical Inference (and What is Wrong With Classical Statistics) Scope This page concerns statistical inference as described by the most prominent and mainstream 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 Norris Medical Library: - University of Southern California Databases: AAFP Clinical Recommendations (American Academy of Family Physicians) ABIM On line analysis tools : ABLEDATA Assistive Technology Information Medical Statistics at a Glance - Aviva Petrie Caroline Sabin Neuroscience At a Glance Third Edition Extended Reading General books about data and statistics Altman DG (1990) Practical Statistics for Medical Research
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