In this course Diagnostic Research, Erasmus University Rotterdam we will discuss the principles of interpreting diagnostic test results and evaluating diagnostic tests.
We will first review basic concepts such as sensitivity, specificity, predictive probabilities, likelihood ratios, Bayes theorem and ROC curves. Then we will discuss possible forms of bias that can influence studies evaluating diagnostic test performance and a method to correct for verification bias. Diagnostic meta-analysis and summary ROC curves will be discussed.
Next we will focus on modeling issues in using decision analysis to model diagnostic decisions. Conditional independence and multivariable prediction rules will be explained. The week will end with determining the optimal operating point on the ROC curve and estimating target values for new diagnostic technology.
To get credit for the course you will need to perform assignments. We will do the assignments in part during class so bring a laptop. Expect to spend at least 2 hours per day finishing the assignments after class.
Books are on sale during the Erasmus Winter Programme.
Diagnostic Research – EWP05
Pharmaco-epidemiology and Drug Safety – EWP03
Bruno Stricker, Katia Verhamme, Sabine Straus
Biostatistics for Clinicians – EWP22
Ariel Alonso Abad
Principles of Epidemiologic Data-analysis – EWP25
Survival Analysis for Clinicians – EWP24
Advanced Analysis of Prognosis Studies – EWP13
Advanced Topics in Decision Making in Medicine – EWP02
Advanced Clinical Trials – EWP10
Jacobus Lubsen, Tim Clayton
Residents, fellows, clinical researchers, and public health researchers.
Those interested in diagnostic test evaluation.
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