Semi-parametric Approach for Estimating Smoothing Receiver Operating Characteristic Curves with Covariates
Author:
Affiliation:
1. Graduate School of Engineering, Oita University
2. Oita University
3. NPO Biostatistical Research Association
Publisher
Behaviormetric Society of Japan
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/jbhmk/44/2/44_167/_pdf
Reference30 articles.
1. Alonzo, T. A. & Pepe, M. S. (2002). Distribution-free ROC analysis using binary regression techniques. Biostatistics, 3(3), 421-432.
2. Begg, C. B. (1987). Biases in tha assessment of diagnostic test. Statistics in Medicine, 6, 411-423.
3. Brumback, B. A., Ruppert, D. & Wand, M. P. (1999). Comment on “Variable selection and function estimation in additive nonparametric regression using a data-based prior” by Shively, T. S., Kohn, R. & Wood, S. Journal of the American Statistical Association., 94, 794-797.
4. Cai, T. (2004). Semi-parametric ROC regression analysis with placement values. Biostatsitics, 5, 1, 45-60.
5. Cai, T. & Pepe, M. S. (2002). Semiparametric receiver operating characteristic analysis to evaluate biomarkers for disease. Journal of the American Statistical Association, 97, 460, 1099-1107.
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