Abstract
Both logistic regression and c-statistics can be used to evaluate the performance of novel diagnostic tests (see also Machine learning in medicine part two, Chap. 6, pp 45–52, Logistic regression for assessment of novel diagnostic tests against controls, Springer Heidelberg Germany, 2013, from the same authors). This chapter is to assess whether one method can outperform the other.
This chapter was previously published in “Machine learning in medicine-cookbook 3” as Chap. 8, 2014.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Cleophas, T.J., Zwinderman, A.H. (2015). Performance Evaluation of Novel Diagnostic Tests (650 and 588 Patients). In: Machine Learning in Medicine - a Complete Overview. Springer, Cham. https://doi.org/10.1007/978-3-319-15195-3_41
Download citation
DOI: https://doi.org/10.1007/978-3-319-15195-3_41
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-15194-6
Online ISBN: 978-3-319-15195-3
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)