Resources Repository
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Tutorial/PrimerPublication, Teaching Resource 1980Threshold Approach to Clinical Decision Making
This classic paper provides a "tutorial" for students learning about diagnostic testing, probability revision, and …
This classic paper provides a "tutorial" for students learning about diagnostic testing, probability revision, and how to calculate thresholds for testing, treatment, and no treatment. The authors describe how a physician's estimate of the probability that a patient has a particular disease is a principal factor in the determination of whether to withhold treatment, obtain more data by testing, or treat without subjecting the patient to the risks of further diagnostic tests. Using the concepts of decision analysis,…
Test Performance | Probability/Bayes | Value of Information | Decision Analysis | Health/Medicine -
Tutorial/PrimerWeb Portal, Teaching Resource 2018OR-Notes
OR-Notes are a series of introductory notes on topics that fall under the broad heading …
OR-Notes are a series of introductory notes on topics that fall under the broad heading of the field of operations research (OR). They were developed and used by J E Beasley in an introductory OR course at Imperial College. He has made them available for use by any students and teachers interested in OR subject provided he is acknowledged and identified as their author. J E Beasley completed his PhD in Management Science at Imperial…
Operations Research | Business/Industry -
Tutorial/PrimerPublication, Teaching Resource 2005Refining Clinical Diagnosis with Likelihood Ratios
This article serves as a concise tutorial about the interpretation and use of likelihood ratios …
This article serves as a concise tutorial about the interpretation and use of likelihood ratios in clinical decision-making. Likelihood ratios can refine clinical diagnosis on the basis of signs and symptoms; however, they are underused for patients' care. A likelihood ratio is the percentage of ill people with a given test result divided by the percentage of well individuals with the same result. Ideally, abnormal test results should be much more typical in ill individuals…
Test Performance | Value of Information | Health/Medicine