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Causal Inference with Complex Surveys: A Unified Perspective on Sample Selection and Exposure Selection 复杂调查的因果推论：样本选择和暴露选择的统一视角
IF 1.8 4区 数学
American Statistician Pub Date : 2024-11-05 DOI: 10.1080/00031305.2024.2423814
Giovanni Nattino, Robert Ashmead, Bo Lu
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引用次数: 0
Cross-validatory Z-Residual for Diagnosing Shared Frailty Models 用于诊断共享虚弱模型的交叉验证性 Z-Residual模型
IF 1.8 4区 数学
American Statistician Pub Date : 2024-10-29 DOI: 10.1080/00031305.2024.2421370
Tingxuan Wu, Cindy Feng, Longhai Li
{"title":"Cross-validatory Z-Residual for Diagnosing Shared Frailty Models","authors":"Tingxuan Wu, Cindy Feng, Longhai Li","doi":"10.1080/00031305.2024.2421370","DOIUrl":"https://doi.org/10.1080/00031305.2024.2421370","url":null,"abstract":"Accurate model performance assessment in survival analysis is imperative for robust predictions and informed decision-making. Traditional residual diagnostic tools like martingale and deviance resi...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142588642","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
Performance Analysis of NSUM Estimators in Social-Network Topologies 社交网络拓扑中 NSUM 估算器的性能分析
IF 1.8 4区 数学
American Statistician Pub Date : 2024-10-29 DOI: 10.1080/00031305.2024.2421361
Sergio Díaz-Aranda, Jose Aguilar, Juan Marcos Ramírez, David Rabanedo, Antonio Fernández Anta, Rosa E. Lillo
{"title":"Performance Analysis of NSUM Estimators in Social-Network Topologies","authors":"Sergio Díaz-Aranda, Jose Aguilar, Juan Marcos Ramírez, David Rabanedo, Antonio Fernández Anta, Rosa E. Lillo","doi":"10.1080/00031305.2024.2421361","DOIUrl":"https://doi.org/10.1080/00031305.2024.2421361","url":null,"abstract":"The Network Scale-up Methods (NSUM) are methods to estimate unknown populations based on indirect surveys in which the participants provide information about aggregated data of their acquaintances....","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142588641","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
A Pareto tail plot without moment restrictions 无矩限制的帕累托尾部图
IF 1.8 4区 数学
American Statistician Pub Date : 2024-10-15 DOI: 10.1080/00031305.2024.2413081
Bernhard Klar
{"title":"A Pareto tail plot without moment restrictions","authors":"Bernhard Klar","doi":"10.1080/00031305.2024.2413081","DOIUrl":"https://doi.org/10.1080/00031305.2024.2413081","url":null,"abstract":"We propose a mean functional that exists for arbitrary probability distributions and characterizes the Pareto distribution within the set of distributions with finite left endpoint. This is in shar...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142490347","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
Sparse-group boosting: Unbiased group and variable selection 稀疏分组提升：无偏群组和变量选择
IF 1.8 4区 数学
American Statistician Pub Date : 2024-10-07 DOI: 10.1080/00031305.2024.2408007
Fabian Obster, Christian Heumann
{"title":"Sparse-group boosting: Unbiased group and variable selection","authors":"Fabian Obster, Christian Heumann","doi":"10.1080/00031305.2024.2408007","DOIUrl":"https://doi.org/10.1080/00031305.2024.2408007","url":null,"abstract":"For grouped covariates, we propose a framework for boosting that allows for sparsity within and between groups. By using component-wise and group-wise gradient ridge boosting simultaneously with ad...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142384284","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
Additive Hazards Regression Analysis of Massive Interval-Censored Data via Data Splitting 通过数据分割对海量区间删失数据进行加性危险回归分析
IF 1.8 4区 数学
American Statistician Pub Date : 2024-09-25 DOI: 10.1080/00031305.2024.2407495
Peiyao Huang, Shuwei Li, Xinyuan Song
{"title":"Additive Hazards Regression Analysis of Massive Interval-Censored Data via Data Splitting","authors":"Peiyao Huang, Shuwei Li, Xinyuan Song","doi":"10.1080/00031305.2024.2407495","DOIUrl":"https://doi.org/10.1080/00031305.2024.2407495","url":null,"abstract":"With the rapid development of data acquisition and storage space, massive data sets exhibited with large sample size emerge increasingly and make more advanced statistical tools urgently need. To a...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142321120","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
An effective and small sample-size valid confidence interval for isotonic dose-response curves by inverting a partial likelihood ratio test 通过倒置部分似然比检验为等效剂量-反应曲线建立有效且小样本量的可信区间
IF 1.8 4区 数学
American Statistician Pub Date : 2024-09-19 DOI: 10.1080/00031305.2024.2407478
J. G. Liao
{"title":"An effective and small sample-size valid confidence interval for isotonic dose-response curves by inverting a partial likelihood ratio test","authors":"J. G. Liao","doi":"10.1080/00031305.2024.2407478","DOIUrl":"https://doi.org/10.1080/00031305.2024.2407478","url":null,"abstract":"A dose-response curve is essential for determining the safe dosage of a drug and is widely used in bioassay and in phase 1 clinical trials. It is generally accepted that the probability of death or...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142245223","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
Selecting the best compositions of a wheelchair basketball team: a data-driven approach 选择轮椅篮球队的最佳组合：一种数据驱动方法
IF 1.8 4区 数学
American Statistician Pub Date : 2024-09-11 DOI: 10.1080/00031305.2024.2402246
Gabriel Calvo, Carmen Armero, Bernd Grimm, Christophe Ley
{"title":"Selecting the best compositions of a wheelchair basketball team: a data-driven approach","authors":"Gabriel Calvo, Carmen Armero, Bernd Grimm, Christophe Ley","doi":"10.1080/00031305.2024.2402246","DOIUrl":"https://doi.org/10.1080/00031305.2024.2402246","url":null,"abstract":"Wheelchair basketball, regulated by the International Wheelchair Basketball Federation, is a sport designed for individuals with physical disabilities. This paper presents a data-driven tool that e...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142313702","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
When Heavy Tails Disrupt Statistical Inference 当沉重的尾巴扰乱统计推断时
IF 1.8 4区 数学
American Statistician Pub Date : 2024-09-10 DOI: 10.1080/00031305.2024.2402898
Richard M. Vogel, Simon Michael Papalexiou, Jonathan R. Lamontagne, Flannery Dolan
{"title":"When Heavy Tails Disrupt Statistical Inference","authors":"Richard M. Vogel, Simon Michael Papalexiou, Jonathan R. Lamontagne, Flannery Dolan","doi":"10.1080/00031305.2024.2402898","DOIUrl":"https://doi.org/10.1080/00031305.2024.2402898","url":null,"abstract":"Heavy tails (HT) arise in many applications and their presence can disrupt statistical inference, yet the HT statistical literature requires a theoretical background most practicing statisticians l...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142313704","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
Estimation of Contact Time Among Animals from Telemetry Data 根据遥测数据估算动物之间的接触时间
IF 1.8 4区 数学
American Statistician Pub Date : 2024-09-09 DOI: 10.1080/00031305.2024.2402264
Andrew B. Whetten, Trevor J. Hefley, David A. Haukos
{"title":"Estimation of Contact Time Among Animals from Telemetry Data","authors":"Andrew B. Whetten, Trevor J. Hefley, David A. Haukos","doi":"10.1080/00031305.2024.2402264","DOIUrl":"https://doi.org/10.1080/00031305.2024.2402264","url":null,"abstract":"Continuous processes in most applications are measured discretely with error. This complicates the task of detecting intersections and the number of intersections between two continuous processes (...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142166258","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
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