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Wilson, Kyle J., Roldán-Nofuentes, José A. and Henrion, Marc (2024) 'testCompareR: an R package to compare two binary diagnostic tests using paired data'. Wellcome Open Research, Vol 9, e351.
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654abeec-d08f-4de4-a5e8-66ea1de4cd0f_22411_-_kyle_wilson_(1).pdf - Published Version Available under License Creative Commons Attribution. Download (1MB) | Preview |
Abstract
Background
Binary diagnostic tests are commonly used in medicine to answer a question about a patient’s clinical status, most commonly, do they or do they not have some disease. Recent advances in statistical methodologies for performing inferential statistics to compare commonly used test metrics for two diagnostic tests have not yet been implemented in a robust statistical package.
Methods
Up-to-date statistical methods to compare the test metrics achieved by two binary diagnostic tests are implemented in the new R package testCompareR. The output and efficiency of testCompareR is compared to the only other available package which performs this function, DTComPair, using a motivating example.
Results
testCompareR achieves similar results to DTComPair using statistical methods with improved coverage and asymptotic performance. Further, testCompareR is faster than the currently available package and requires fewer pre-processing steps in order to produce accurate results.
Conclusions
testCompareR provides a new tool to compare the test metrics for two binary diagnostic tests compared with the gold standard. This tool allows flexible inputs, which minimises the need for data pre-processing, and operates in very few steps, so that it is easy to use even for those less experienced with R. testCompareR achieves results comparable to those computed by DTComPair, using optimised statistical methods and with improved computational efficiency.
| Item Type: | Article |
|---|---|
| Additional Information: | Updated version can be viewed here: https://doi.org/10.12688/wellcomeopenres.22411.3 |
| Subjects: | QY Clinical Pathology > QY 25 Laboratory techniques and procedure QY Clinical Pathology > QY 4 General works |
| Faculty: Department: | Clinical Sciences & International Health > Clinical Sciences Department |
| Digital Object Identifer (DOI): | https://doi.org/10.12688/wellcomeopenres.22411.1 |
| SWORD Depositor: | JISC Pubrouter |
| Depositing User: | JISC Pubrouter |
| Date Deposited: | 30 Jul 2024 12:47 |
| Last Modified: | 06 Nov 2024 13:34 |
| URI: | https://archive.lstmed.ac.uk/id/eprint/24967 |
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