… The evaluation of Markov models by algebraic solutions, cohort simulation, and Monte
Carlo simulation is discussed. Finally, cost-effectiveness analysis of diagnostic testing is briefly …

… test result for several testing scenarios for detection of tuberculosis in cattle by use of simulation
modeling… Procedure—5 test scenarios were simulated: scenario 1, serial interpretation of …

… simulation data which is constructed by applying the test set … These mutants are simulated
under the tests, and then we … curves generated by different tests on different test points. The …

… In order to have full control of the dataset used for illustration of our various points, we will
use simulated data so that the results obtained from latent class analysis can be directly …

… We used discrete event simulation (DES) modeling to test the theoretical impact of a proposed
initiative to reduce diagnostic testing for low-acuity pediatric emergency department (ED) …

… event simulation model of patients’ diagnostic pathways that captures key behavioral
characteristics of providers (time to order a test… to development of new diagnostic tests, our …

… The model presented in this article allows for less … and can be used to simulate all candidate
screening tests. This … The sensitivity of screening and diagnostic tests may differ for lesions …

… , including the test correlation, are possible. We present a model for evaluating dependent
diagnostic tests and analyse real and simulated data sets. Our analysis shows that, when the …

Important applications of diagnostic tests in non-clinical … the processing and analysis of diagnostic
data with special … ) in the different applications of diagnostic tests. These methods often …

… For each cancer type, we simulated diagnostic testing … with longer times to diagnostic
testing, particularly for breast … Our results are based on simulation modeling, which requires …