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Performance Evaluation of Novel Diagnostic Tests (650 and 588 Patients)

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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.

Supplementary material

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333106_2_En_42_MOESM2_ESM.sav (2 kb)
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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department Medicine Albert Schweitzer HospitalDordrechtThe Netherlands
  2. 2.Academic Medical CenterDepartment Biostatistics and EpidemiologyAmsterdamThe Netherlands

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