A non-inferiority test for diagnostic accuracy in the absence of the golden standard test based on the paired partial areas under receiver operating characteristic curves
| Autor: | Wei-Hwa Wu, Hsin-Neng Hsieh, Shu-Man Shih |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Statistics and Probability
Receiver operating characteristic Heuristic (computer science) media_common.quotation_subject Diagnostic accuracy Measure (mathematics) Test (assessment) Expectation–maximization algorithm Statistics Range (statistics) Statistics Probability and Uncertainty Normality Mathematics media_common |
| Zdroj: | Journal of Applied Statistics. 43:550-562 |
| ISSN: | 1360-0532 0266-4763 |
| DOI: | 10.1080/02664763.2015.1070810 |
| Popis: | Non-inferiority tests are often measured for the diagnostic accuracy in medical research. The area under the receiver operating characteristic (ROC) curve is a familiar diagnostic measure for the overall diagnostic accuracy. Nevertheless, since it may not differentiate the diverse shapes of the ROC curves with different diagnostic significance, the partial area under the ROC (PAUROC) curve, another summary measure emerges for such diagnostic processes that require the false-positive rate to be in the clinically interested range. Traditionally, to estimate the PAUROC, the golden standard (GS) test on the true disease status is required. Nevertheless, the GS test may sometimes be infeasible. Besides, in a lot of research fields such as the epidemiology field, the true disease status of the patients may not be known or available. Under the normality assumption on diagnostic test results, based on the expectation-maximization algorithm in combination with the bootstrap method, we propose the heuristic method ... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|