Biometrics最新文献_第7页

Non-parametric estimators of hazard ratios for comparing two survival curves. 比较两条生存曲线的风险比的非参数估计。

IF 1.4 4区数学

Biometrics Pub Date : 2025-04-02 DOI: 10.1093/biomtc/ujaf072

Mihai Giurcanu, Theodore Karrison

引用次数: 0

Semiparametric joint modeling for biomarker trajectory before disease onset. 疾病发病前生物标志物轨迹的半参数联合建模。

IF 1.4 4区数学

Biometrics Pub Date : 2025-04-02 DOI: 10.1093/biomtc/ujaf064

Yifei Sun, Xiwen Zhao, Kwun Chuen Gary Chan, Wanwan Xu, Heather Allore, Yize Zhao

引用次数: 0

Addressing confounding and continuous exposure measurement error using corrected score functions. 使用校正分数函数解决混淆和连续曝光测量误差。

IF 1.7 4区数学

Biometrics Pub Date : 2025-04-02 DOI: 10.1093/biomtc/ujaf045

Brian D Richardson, Bryan S Blette, Peter B Gilbert, Michael G Hudgens

{"title":"Addressing confounding and continuous exposure measurement error using corrected score functions.","authors":"Brian D Richardson, Bryan S Blette, Peter B Gilbert, Michael G Hudgens","doi":"10.1093/biomtc/ujaf045","DOIUrl":"10.1093/biomtc/ujaf045","url":null,"abstract":"Confounding and exposure measurement error can introduce bias when drawing inference about the marginal effect of an exposure on an outcome of interest. While there are broad methodologies for addressing each source of bias individually, confounding and exposure measurement error frequently co-occur, and there is a need for methods that address them simultaneously. In this paper, corrected score methods are derived under classical additive measurement error to draw inference about marginal exposure effects using only measured variables. Three estimators are proposed based on g-formula, inverse probability weighting, and doubly-robust estimation techniques. The estimators are shown to be consistent and asymptotically normal, and the doubly-robust estimator is shown to exhibit its namesake property. The methods, which are implemented in the R package mismex, perform well in finite samples under both confounding and measurement error as demonstrated by simulation studies. The proposed doubly-robust estimator is applied to study the effects of two biomarkers on HIV-1 infection using data from the HVTN 505 preventative vaccine trial.","PeriodicalId":8930,"journal":{"name":"Biometrics","volume":"81 2","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12038274/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143962773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Data integration methods for micro-randomized trials. 微随机试验的数据整合方法。

IF 1.7 4区数学

Biometrics Pub Date : 2025-04-02 DOI: 10.1093/biomtc/ujaf002

E Huch, I Nahum-Shani, L Potter, C Lam, D W Wetter, W Dempsey

引用次数: 0

Leveraging two-phase data for improved prediction of survival outcomes with application to nasopharyngeal cancer. 利用两期数据改善鼻咽癌生存预后预测。

IF 1.4 4区数学

Biometrics Pub Date : 2025-04-02 DOI: 10.1093/biomtc/ujaf080

Eun Jeong Oh, Seungjun Ahn, Tristan Tham, Min Qian

{"title":"Leveraging two-phase data for improved prediction of survival outcomes with application to nasopharyngeal cancer.","authors":"Eun Jeong Oh, Seungjun Ahn, Tristan Tham, Min Qian","doi":"10.1093/biomtc/ujaf080","DOIUrl":"https://doi.org/10.1093/biomtc/ujaf080","url":null,"abstract":"Accurate survival predicting models are essential for improving targeted cancer therapies and clinical care among cancer patients. In this article, we investigate and develop a method to improve predictions of survival in cancer by leveraging two-phase data with expert knowledge and prognostic index. Our work is motivated by two-phase data in nasopharyngeal cancer (NPC), where traditional covariates are readily available for all subjects, but the primary viral factor, human papillomavirus (HPV), is substantially missing. To address this challenge, we propose an expert-guided method that incorporates prognostic index based on the observed covariates and clinical importance of key factors. The proposed method makes efficient use of available data, not simply discarding patients with unknown HPV status. We apply the proposed method and evaluate it against other existing approaches through a series of simulation studies and real data example of NPC patients. Under various settings, the proposed method consistently outperforms competing methods in terms of c-index, calibration slope, and integrated Brier score. By efficiently leveraging two-phase data, the model provides a more accurate and reliable predictive ability of survival models.","PeriodicalId":8930,"journal":{"name":"Biometrics","volume":"81 2","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144494095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

On the finite-sample and asymptotic error control of a randomization-probability test for response-adaptive clinical trials. 反应适应性临床试验随机概率检验的有限样本和渐近误差控制。

IF 1.4 4区数学

Biometrics Pub Date : 2025-04-02 DOI: 10.1093/biomtc/ujaf069

Nina Deliu, Sofia S Villar

引用次数: 0

Rejoinder to the discussion on "Continuous-space occupancy models". 回答关于“连续空间占用模式”的讨论。

IF 1.4 4区数学

Biometrics Pub Date : 2025-04-02 DOI: 10.1093/biomtc/ujaf058

Wilson J Wright, Mevin B Hooten

引用次数: 0

Discussion on "Continuous-space occupancy models" by Wilson J. Wright and Mevin B. Hooten. Wilson J. Wright和Mevin B. Hooten关于“连续空间占用模式”的讨论。

IF 1.4 4区数学

Biometrics Pub Date : 2025-04-02 DOI: 10.1093/biomtc/ujaf057

Léa Pautrel, Marie-Pierre Etienne, Olivier Gimenez

引用次数: 0

Discussion on "Continuous-space occupancy models" by Wilson J. Wright and Mevin B. Hooten. Wilson J. Wright和Mevin B. Hooten关于“连续空间占用模式”的讨论。

IF 1.4 4区数学

Biometrics Pub Date : 2025-04-02 DOI: 10.1093/biomtc/ujaf056

Jeffrey W Doser, Krishna Pacifici

引用次数: 0

Power-enhanced two-sample mean tests for high-dimensional microbiome compositional data. 高维微生物组组成数据的功率增强双样本均值测试。

IF 1.4 4区数学

Biometrics Pub Date : 2025-04-02 DOI: 10.1093/biomtc/ujaf034

Danning Li, Lingzhou Xue, Haoyi Yang, Xiufan Yu

{"title":"Power-enhanced two-sample mean tests for high-dimensional microbiome compositional data.","authors":"Danning Li, Lingzhou Xue, Haoyi Yang, Xiufan Yu","doi":"10.1093/biomtc/ujaf034","DOIUrl":"10.1093/biomtc/ujaf034","url":null,"abstract":"Testing differences in mean vectors is a fundamental task in the analysis of high-dimensional microbiome compositional data. Existing methods may suffer from low power if the underlying signal pattern is in a situation that does not favor the deployed test. In this work, we develop 2-sample power-enhanced mean tests for high-dimensional compositional data based on the combination of $P$-values, which integrates strengths from 2 popular types of tests: the maximum-type test and the quadratic-type test. We provide rigorous theoretical guarantees on the proposed tests, showing accurate Type-I error rate control and enhanced testing power. Our method boosts the testing power toward a broader alternative space, which yields robust performance across a wide range of signal pattern settings. Our methodology and theory also contribute to the literature on power enhancement and Gaussian approximation for high-dimensional hypothesis testing. We demonstrate the performance of our method on both simulated data and real-world microbiome data, showing that our proposed approach improves the testing power substantially compared to existing methods.","PeriodicalId":8930,"journal":{"name":"Biometrics","volume":"81 2","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11962435/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143762714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0