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Activity Number:
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193
- Modeling, Design Strategies and Assessments of Biomarkers
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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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Biopharmaceutical Section
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Abstract #313250
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Title:
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Estimation and Construction of Confidence Intervals for the Cutoff-Points of Continuous Biomarkers in Trichotomous Settings
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Author(s):
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Brian Mosier* and Leonidas Bantis
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Companies:
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University of Kansas Medical Center and University of Kansas Medical Center
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Keywords:
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Biomarker;
ROC Surface;
Sensitivity;
Specificity;
Youden index
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Abstract:
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Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal forms of cancer with a 5-year survival rate between 5-7%. Thus, its early detection could be key to reducing PDAC mortality. Novel biomarkers are currently being studied for the early detection of PDAC. The ROC based Youden index is a popular method for choosing the optimal cutoff values of biomarkers and was recently generalized to the three-class case. We provide new parametric and non-parametric approaches that outperform the Youden based cutoffs in terms of variance and thus narrower confidence intervals are achieved. We further generalize our approaches to address k-class problems. Our approach is illustrated using real data from pancreatic cancer patients from a study conducted at the MD Anderson Cancer Center.
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Authors who are presenting talks have a * after their name.
