{"title":"Time-Dependent ROC Curve for Multiple Longitudinal Biomarkers and Its Application in Diagnosing Cardiovascular Events.","authors":"Lizhe Sun, Pingyuan Wei, Jie Zhou, Xiao-Hua Zhou","doi":"10.1002/sim.10318","DOIUrl":null,"url":null,"abstract":"<p><p>Since they can help people detect the early signs of diseases, accurate diagnostic techniques based on biomarkers are crucial in biomedical research. This article proposes a novel bivariate time-varying coefficients logistic regression model for addressing the combined longitudinal biomarkers. Using the B-splines method to estimate the proposed model, we can effectively combine multiple longitudinal biomarkers and improve diagnostic accuracy. We show that the proposed method is theoretically consistent. And it exhibits superior performance compared to the existing method, as presented through numerical results. The proposed method is verified in a study on predicting the probability of onset of future cardiovascular events for type 2 diabetic patients. The longitudinal biomarkers, HbA1c and LDL-C, are considered in this study. We demonstrate that the combined longitudinal biomarkers significantly improved disease diagnostic accuracy over only a combination of the latest measured biomarkers in most cases.</p>","PeriodicalId":21879,"journal":{"name":"Statistics in Medicine","volume":"44 5","pages":"e10318"},"PeriodicalIF":1.8000,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistics in Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/sim.10318","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MATHEMATICAL & COMPUTATIONAL BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Since they can help people detect the early signs of diseases, accurate diagnostic techniques based on biomarkers are crucial in biomedical research. This article proposes a novel bivariate time-varying coefficients logistic regression model for addressing the combined longitudinal biomarkers. Using the B-splines method to estimate the proposed model, we can effectively combine multiple longitudinal biomarkers and improve diagnostic accuracy. We show that the proposed method is theoretically consistent. And it exhibits superior performance compared to the existing method, as presented through numerical results. The proposed method is verified in a study on predicting the probability of onset of future cardiovascular events for type 2 diabetic patients. The longitudinal biomarkers, HbA1c and LDL-C, are considered in this study. We demonstrate that the combined longitudinal biomarkers significantly improved disease diagnostic accuracy over only a combination of the latest measured biomarkers in most cases.
期刊介绍：
The journal aims to influence practice in medicine and its associated sciences through the publication of papers on statistical and other quantitative methods. Papers will explain new methods and demonstrate their application, preferably through a substantive, real, motivating example or a comprehensive evaluation based on an illustrative example. Alternatively, papers will report on case-studies where creative use or technical generalizations of established methodology is directed towards a substantive application. Reviews of, and tutorials on, general topics relevant to the application of statistics to medicine will also be published. The main criteria for publication are appropriateness of the statistical methods to a particular medical problem and clarity of exposition. Papers with primarily mathematical content will be excluded. The journal aims to enhance communication between statisticians, clinicians and medical researchers.
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