{"title":"Contrastive Learning on Multimodal Analysis of Electronic Health Records","authors":"Tianxi Cai, Feiqing Huang, Ryumei Nakada, Linjun Zhang, Doudou Zhou","doi":"10.1080/01621459.2026.2698136","DOIUrl":"https://doi.org/10.1080/01621459.2026.2698136","url":null,"abstract":"","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"29 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148415975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Beta-Trees: Multivariate Histograms With Confidence Statements","authors":"Guenther Walther, Qian Zhao","doi":"10.1080/01621459.2026.2699466","DOIUrl":"https://doi.org/10.1080/01621459.2026.2699466","url":null,"abstract":"","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"39 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148416035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multilinear Ordinary Differential Equations for Inferring Gene Regulatory Network from Multimodal Functional Data","authors":"Heng Zhang, Zhi-Ping Liu","doi":"10.1080/01621459.2026.2697050","DOIUrl":"https://doi.org/10.1080/01621459.2026.2697050","url":null,"abstract":"","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"64 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148415974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jiawen Chen, Caiwei Xiong, Quan Sun, Yutong Song, Geoffery W. Wang, Gaorav P. Gupta, Aritra Halder, Yun Li, Didong Li
{"title":"Investigating Spatial Dynamics in Spatial Omics Data with StarTrail","authors":"Jiawen Chen, Caiwei Xiong, Quan Sun, Yutong Song, Geoffery W. Wang, Gaorav P. Gupta, Aritra Halder, Yun Li, Didong Li","doi":"10.1080/01621459.2026.2654225","DOIUrl":"https://doi.org/10.1080/01621459.2026.2654225","url":null,"abstract":"","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"103 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148415977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jiaming Qiu, Ying-Qi Zhao, John Wei, Arul M Chinnaiyan, Jeffrey Tosoian, Yingye Zheng
{"title":"Optimizing Sequential Decision Rules for Prostate Cancer Biopsy Management: A Multi-Objective Statistical Framework.","authors":"Jiaming Qiu, Ying-Qi Zhao, John Wei, Arul M Chinnaiyan, Jeffrey Tosoian, Yingye Zheng","doi":"10.1080/01621459.2026.2661377","DOIUrl":"10.1080/01621459.2026.2661377","url":null,"abstract":"<p><p>Binary medical decision-making increasingly demands sequential diagnostic strategies that optimize accuracy while minimizing patient burden and healthcare costs. In prostate cancer diagnosis, many patients undergo unnecessary biopsies despite existing biomarkers and imaging tests that already inform risk stratification. Sequential testing, where tests are selectively administered based on prior results, offers a promising approach to balance diagnostic power with procedural efficiency. We propose a novel framework for deriving optimal sequential decision rules using a multi-objective optimization perspective. Specifically, we aim to (1) minimize unnecessary invasive procedures while maintaining sensitivity to underlying disease, and (2) reduce procedural costs by limiting the number of subsequent tests. Rather than collapsing multiple goals into a single weighted score, which forces subjective choices about trade-off weights, we optimize one target while requiring the others to meet prespecified standards. This constrained formulation can be solved efficiently using Lagrange multipliers, yielding a family of optimal sequential rules and a trade-off curve that summarizes the best achievable balance among sensitivity, specificity, and testing burden for clinical protocol design. In the prostate cancer diagnostic data with biomarker and imaging measurements and biopsy-confirmed outcomes, the sequential strategies identify testing pathways that reduce unnecessary procedures while preserving diagnostic quality.</p>","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":" ","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13496293/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148794872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimally adaptive test for high dimensional hypotheses via minimax deficiency","authors":"Jingkun Qiu, Song Xi Chen, Yumou Qiu","doi":"10.1080/01621459.2026.2692074","DOIUrl":"https://doi.org/10.1080/01621459.2026.2692074","url":null,"abstract":"","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"191 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148314106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Causal Inference with Generative Artificial Intelligence: Application to Texts as Treatments*","authors":"Kosuke Imai, Kentaro Nakamura","doi":"10.1080/01621459.2026.2689629","DOIUrl":"https://doi.org/10.1080/01621459.2026.2689629","url":null,"abstract":"","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"137 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148314372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sijia Liao, Xiaoxiao Sun, Ning Hao, Hao Helen Zhang
{"title":"Interpretable Scalar-on-Image Linear Regression Models via the Generalized Dantzig Selector","authors":"Sijia Liao, Xiaoxiao Sun, Ning Hao, Hao Helen Zhang","doi":"10.1080/01621459.2026.2690121","DOIUrl":"https://doi.org/10.1080/01621459.2026.2690121","url":null,"abstract":"","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"32 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148314105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Michael Lindon, Dae Woong Ham, Martin Tingley, Iavor Bojinov
{"title":"Anytime-Valid Inference in Linear Models with Applications to Regression-Adjusted Causal Inference","authors":"Michael Lindon, Dae Woong Ham, Martin Tingley, Iavor Bojinov","doi":"10.1080/01621459.2026.2692052","DOIUrl":"https://doi.org/10.1080/01621459.2026.2692052","url":null,"abstract":"","PeriodicalId":17227,"journal":{"name":"Journal of the American Statistical Association","volume":"33 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148314104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}