A Stepwise Algorithm for Linearly Combining Biomarkers under Youden Index Maximization
Combining multiple biomarkers to provide predictive models with a greater discriminatory ability is a discipline that has received attention in recent years. Choosing the probability threshold that corresponds to the highest combined marker accuracy is key in disease diagnosis. The Youden index is a...
Main Authors: | Rocío Aznar-Gimeno, Luis M. Esteban, Rafael del-Hoyo-Alonso, Ángel Borque-Fernando, Gerardo Sanz |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-04-01
|
Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/10/8/1221 |
Similar Items
-
Incorporating a New Summary Statistic into the Min–Max Approach: A Min–Max–Median, Min–Max–IQR Combination of Biomarkers for Maximising the Youden Index
by: Rocío Aznar-Gimeno, et al.
Published: (2021-10-01) -
Comparing the Min–Max–Median/IQR Approach with the Min–Max Approach, Logistic Regression and XGBoost, Maximising the Youden Index
by: Rocío Aznar-Gimeno, et al.
Published: (2023-03-01) -
Robustness evaluation of the chromatographic method for the quantitation of lumefantrine using Youden's test
by: Isabela da Costa César, et al.
Published: (2009-06-01) -
Menggunakan Stepwise Linear Regression Untuk Menentukan Faktor Yang Mempengaruhi Produktivitas Tenaga Kerja
by: Aswar Hanif
Published: (2018-04-01) -
Identification and Validation of Linear Friction Models Using ANOVA and Stepwise Regression
by: Patrick Strobl, et al.
Published: (2022-10-01)