Evaluating Medical Tests: Objective and Quantitative Guidelines
In this book, Kraemer presents a systematic, objective methodology by which to determine the effectiveness of medical tests. She shows clearly and concisely how to define statistical terms and approaches consistently from study to study, how to stipulate statistical assumptions underlying various approaches, how to check for empirical validity and how to judge the robustness of statistical outcomes, resulting in models that integrate many different approaches and extend the strengths of each.
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Disorder and Diagnosis
Test Protocol Response Referent
Population and Sampling
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angina approach battery of tests Chapter chest pain Chi-Square test clinician compute coronary artery disease costworthy cut-off CYTSUR defined definite angina diagnosis line disorder estimated event example exercise stress test false positive family of tests Figure fixed follow-up Folin-Wu Galen and Gambino gold standard hazard function legitimate test medical test evaluation methods Multiple Discriminant Analysis Naturalistic Sampling negative diagnosis obtained odds ratio optimal tests optimally efficient test optimally sensitive test optimally specific test outcome patient period of testing positive diagnosis potential clinical benefit predictive values prevalence probability problem procedure prognostic test protocol QCROC QROC plane quality indices Random ROC referent resting EKG Retrospective Sampling risk ratios risk score sample size sensitivity and specificity single test Somogyi-Nelson standard error statistical subgroups survival curve Table test cost test meal test point Test QROC test responses tion valid weights zero