Скачать с ютуб Module 11c Likelihood Ratios & Pretest/Posttest Probability в хорошем качестве

Module 11c Likelihood Ratios & Pretest/Posttest Probability

The goal of this session is to to learn how to define and calculate likelihood ratios, and use them to calculate and interpret pretest/posttest probabilities. Likelihood ratios are used to assess how good a diagnostic test is and to help in selecting appropriate diagnostic test(s). - LRs have advantages over PPV and NPV because they are less likely to change with the prevalence of the disorder. - LRs can be calculated for several levels of the symptom/sign or test. - LRs can be used to calculate posttest probability for a disease of interest. Bayesian statistics is a field of statistics in which prior beliefs are quantified as pretest probabilities and combined with the LR to calculate posttest probabilities. - Allow interpretation of clinical screening or diagnostic tests within their clinical context.