首页 > 最新文献

American Statistician最新文献

英文 中文
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 Q1 STATISTICS & PROBABILITY Pub Date : 2024-11-05 DOI: 10.1080/00031305.2024.2423814
Giovanni Nattino, Robert Ashmead, Bo Lu
Probability surveys are a major source of population representative data for policy research and program evaluation. However, the data come with the added complications of being observational and s...
概率调查是用于政策研究和项目评估的人口代表性数据的主要来源。然而,这些数据具有观察性和复杂性的特点。
{"title":"Causal Inference with Complex Surveys: A Unified Perspective on Sample Selection and Exposure Selection","authors":"Giovanni Nattino, Robert Ashmead, Bo Lu","doi":"10.1080/00031305.2024.2423814","DOIUrl":"https://doi.org/10.1080/00031305.2024.2423814","url":null,"abstract":"Probability surveys are a major source of population representative data for policy research and program evaluation. However, the data come with the added complications of being observational and s...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"42 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142588644","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
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 Q1 STATISTICS & PROBABILITY Pub Date : 2024-10-29 DOI: 10.1080/00031305.2024.2421370
Tingxuan Wu, Cindy Feng, Longhai Li
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...
生存分析中准确的模型性能评估对于稳健预测和明智决策至关重要。传统的残差诊断工具,如马氏残差和偏差残差等,都无法准确评估模型的性能。
{"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":"45 1","pages":""},"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 Q1 STATISTICS & PROBABILITY 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
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....
网络扩展方法(NSUM)是基于间接调查估计未知人口的方法,在间接调查中,参与者提供其熟人的综合数据信息....。
{"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":"8 1","pages":""},"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 Q1 STATISTICS & PROBABILITY Pub Date : 2024-10-15 DOI: 10.1080/00031305.2024.2413081
Bernhard Klar
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...
我们提出了一种均值函数,它存在于任意概率分布中,并描述了具有有限左端点的分布集合中的帕累托分布。这与...
{"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":"1 1","pages":""},"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 Q1 STATISTICS & PROBABILITY Pub Date : 2024-10-07 DOI: 10.1080/00031305.2024.2408007
Fabian Obster, Christian Heumann
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...
对于分组协变量,我们提出了一种允许组内和组间稀疏性的提升框架。通过同时使用分量和组内梯度脊提升以及ad...
{"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":"6 1","pages":""},"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 Q1 STATISTICS & PROBABILITY Pub Date : 2024-09-25 DOI: 10.1080/00031305.2024.2407495
Peiyao Huang, Shuwei Li, Xinyuan Song
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...
随着数据采集和存储空间的飞速发展,样本量大的海量数据集日益涌现,迫切需要更先进的统计工具。为了解决这个问题,我们需要...
{"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":"29 1","pages":""},"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 Q1 STATISTICS & PROBABILITY Pub Date : 2024-09-19 DOI: 10.1080/00031305.2024.2407478
J. G. Liao
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...
剂量反应曲线对于确定药物的安全剂量至关重要,被广泛应用于生物测定和第一阶段临床试验。一般认为,死亡或...
{"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":"9 1","pages":""},"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 Q1 STATISTICS & PROBABILITY Pub Date : 2024-09-11 DOI: 10.1080/00031305.2024.2402246
Gabriel Calvo, Carmen Armero, Bernd Grimm, Christophe Ley
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...
轮椅篮球由国际轮椅篮球联合会监管,是一项专为身体残疾人士设计的运动。本文介绍了一种以数据为驱动的工具,该工具可用于评估轮椅篮球运动中的...
{"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":"17 1","pages":""},"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 Q1 STATISTICS & PROBABILITY Pub Date : 2024-09-10 DOI: 10.1080/00031305.2024.2402898
Richard M. Vogel, Simon Michael Papalexiou, Jonathan R. Lamontagne, Flannery Dolan
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...
重尾(HT)在许多应用中都会出现,它们的存在会扰乱统计推断,然而重尾统计文献需要大多数实际统计人员具备一定的理论背景。
{"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":"37 1","pages":""},"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 Q1 STATISTICS & PROBABILITY Pub Date : 2024-09-09 DOI: 10.1080/00031305.2024.2402264
Andrew B. Whetten, Trevor J. Hefley, David A. Haukos
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 (...
大多数应用中的连续过程都是离散测量的,存在误差。这使得检测两个连续过程之间的交集和交集数(...
{"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":"2015 1","pages":""},"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
期刊
American Statistician
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1