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Activity Number:
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186
- Biomarker and Diagnostic Test Evaluation
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Type:
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Contributed
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Date/Time:
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Tuesday, August 4, 2020 : 10:00 AM to 2:00 PM
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Sponsor:
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Section on Medical Devices and Diagnostics
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Abstract #313579
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Title:
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Statistical Inference for the Difference of Two Youden Indices Obtained from Correlated Biomarkers
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Author(s):
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Leonidas Bantis* and Christos Nakas and Benjamin Reiser
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Companies:
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University of Kansas Medical Center and University of Thessaly and University of Haifa
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Keywords:
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Biomarker;
Box-Cox;
Youden;
Sensitivity;
Specificity;
ROC
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Abstract:
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Currently there is global interest in deriving new promising cancer biomarkers that could complement or substitute the conventional ones. Clinical decisions can be based on the cutoff that corresponds to the Youden index. In cases where individuals are measured with two biomarkers, correlated measurements arise. In this work, we propose hypothesis tests and confidence intervals for the comparison of two correlated ROC curves in terms of their corresponding Youden indices. We explore delta based techniques under parametric assumptions, or power transformations. Nonparametric kernel based methods are also examined. We evaluate our approaches through simulations and illustrate them using data from a metabolomic study referring to the detection of pancreatic cancer.
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Authors who are presenting talks have a * after their name.
