基于auc的多元正态生物标志物与协变量最优组合中约登指数的区间估计和最优截止点。

IF 1.3 4区医学 Q4 PHARMACOLOGY & PHARMACY

Pharmaceutical Statistics Pub Date : 2025-03-01 DOI:10.1002/pst.70001

Hossein Nadeb, Yichuan Zhao

{"title":"基于auc的多元正态生物标志物与协变量最优组合中约登指数的区间估计和最优截止点。","authors":"Hossein Nadeb, Yichuan Zhao","doi":"10.1002/pst.70001","DOIUrl":null,"url":null,"abstract":"In this article, we present interval estimation methods for the Youden index and the optimal cut-off point in the context of AUC-based optimal combinations of multivariate normally distributed biomarkers, considering the presence of covariates. We propose a generalized pivotal confidence interval, a Bayesian credible interval, and several bootstrap confidence intervals for both the Youden index and its corresponding cut-off point. To evaluate the performance of these confidence and credible intervals, we conducted a Monte Carlo simulation study. Finally, we illustrate the proposed methods using a diabetic dataset.","PeriodicalId":19934,"journal":{"name":"Pharmaceutical Statistics","volume":"24 2","pages":"e70001"},"PeriodicalIF":1.3000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Interval Estimation for the Youden Index and Optimal Cut-Off Point in AUC-Based Optimal Combinations of Multivariate Normal Biomarkers With Covariates.\",\"authors\":\"Hossein Nadeb, Yichuan Zhao\",\"doi\":\"10.1002/pst.70001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this article, we present interval estimation methods for the Youden index and the optimal cut-off point in the context of AUC-based optimal combinations of multivariate normally distributed biomarkers, considering the presence of covariates. We propose a generalized pivotal confidence interval, a Bayesian credible interval, and several bootstrap confidence intervals for both the Youden index and its corresponding cut-off point. To evaluate the performance of these confidence and credible intervals, we conducted a Monte Carlo simulation study. Finally, we illustrate the proposed methods using a diabetic dataset.\",\"PeriodicalId\":19934,\"journal\":{\"name\":\"Pharmaceutical Statistics\",\"volume\":\"24 2\",\"pages\":\"e70001\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2025-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Pharmaceutical Statistics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1002/pst.70001\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PHARMACOLOGY & PHARMACY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pharmaceutical Statistics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/pst.70001","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}

引用次数: 0

摘要

在本文中，考虑到协变量的存在，我们提出了基于auc的多元正态分布生物标志物最佳组合的约登指数和最佳截止点的区间估计方法。对于约登指数及其相应的截止点，我们提出了一个广义的枢纽置信区间、一个贝叶斯可信区间和几个自举置信区间。为了评估这些置信区间和可信区间的性能，我们进行了蒙特卡罗模拟研究。最后，我们使用糖尿病数据集说明了所提出的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Interval Estimation for the Youden Index and Optimal Cut-Off Point in AUC-Based Optimal Combinations of Multivariate Normal Biomarkers With Covariates.

In this article, we present interval estimation methods for the Youden index and the optimal cut-off point in the context of AUC-based optimal combinations of multivariate normally distributed biomarkers, considering the presence of covariates. We propose a generalized pivotal confidence interval, a Bayesian credible interval, and several bootstrap confidence intervals for both the Youden index and its corresponding cut-off point. To evaluate the performance of these confidence and credible intervals, we conducted a Monte Carlo simulation study. Finally, we illustrate the proposed methods using a diabetic dataset.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Pharmaceutical Statistics 医学-统计学与概率论

CiteScore

2.70

自引率

6.70%

发文量

审稿时长

6-12 weeks

期刊介绍： Pharmaceutical Statistics is an industry-led initiative, tackling real problems in statistical applications. The Journal publishes papers that share experiences in the practical application of statistics within the pharmaceutical industry. It covers all aspects of pharmaceutical statistical applications from discovery, through pre-clinical development, clinical development, post-marketing surveillance, consumer health, production, epidemiology, and health economics. The Journal is both international and multidisciplinary. It includes high quality practical papers, case studies and review papers.