Bootstrap-based procedures for inference in nonparametric receiver-operating characteristic curve regression analysis
| Autor: | Carmen Cadarso-Suárez, Pablo G. Tahoces, María Xosé Rodríguez-Álvarez, Javier Roca-Pardiñas |
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| Rok vydání: | 2017 |
| Předmět: |
Statistics and Probability
Epidemiology Computer science Inference Breast Neoplasms Biostatistics computer.software_genre 01 natural sciences Statistics Nonparametric 030218 nuclear medicine & medical imaging 010104 statistics & probability 03 medical and health sciences 0302 clinical medicine Health Information Management Covariate Humans Computer Simulation Diagnosis Computer-Assisted 0101 mathematics Additive model Models Statistical Receiver operating characteristic Diagnostic Tests Routine Nonparametric statistics Estimator Regression analysis ROC Curve Computer-aided diagnosis Area Under Curve Multivariate Analysis Regression Analysis Female Data mining computer Algorithms Biomarkers Software Mammography |
| Zdroj: | Statistical Methods in Medical Research. 27:740-764 |
| ISSN: | 1477-0334 0962-2802 |
| DOI: | 10.1177/0962280217742542 |
| Popis: | Prior to using a diagnostic test in a routine clinical setting, the rigorous evaluation of its diagnostic accuracy is essential. The receiver-operating characteristic curve is the measure of accuracy most widely used for continuous diagnostic tests. However, the possible impact of extra information about the patient (or even the environment) on diagnostic accuracy also needs to be assessed. In this paper, we focus on an estimator for the covariate-specific receiver-operating characteristic curve based on direct regression modelling and nonparametric smoothing techniques. This approach defines the class of generalised additive models for the receiver-operating characteristic curve. The main aim of the paper is to offer new inferential procedures for testing the effect of covariates on the conditional receiver-operating characteristic curve within the above-mentioned class. Specifically, two different bootstrap-based tests are suggested to check (a) the possible effect of continuous covariates on the receiver-operating characteristic curve and (b) the presence of factor-by-curve interaction terms. The validity of the proposed bootstrap-based procedures is supported by simulations. To facilitate the application of these new procedures in practice, an R-package, known as npROCRegression, is provided and briefly described. Finally, data derived from a computer-aided diagnostic system for the automatic detection of tumour masses in breast cancer is analysed. |
| Databáze: | OpenAIRE |
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