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Distance Covariance, Independence, and Pairwise Differences 距离协方差、独立性和成对差异
IF 1.8 4区 数学
American Statistician Pub Date : 2024-07-03 DOI: 10.1080/00031305.2024.2374966
Jakob Raymaekers, Peter J. Rousseeuw
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引用次数: 0
A Multi-Method Data Science Pipeline for Analyzing Police Service 用于分析警务的多方法数据科学管道
IF 1.8 4区 数学
American Statistician Pub Date : 2024-07-01 DOI: 10.1080/00031305.2024.2374275
Anna Haensch, Daanika Gordon, Karin Knudson, Justina Cheng
{"title":"A Multi-Method Data Science Pipeline for Analyzing Police Service","authors":"Anna Haensch, Daanika Gordon, Karin Knudson, Justina Cheng","doi":"10.1080/00031305.2024.2374275","DOIUrl":"https://doi.org/10.1080/00031305.2024.2374275","url":null,"abstract":"Despite the fact that most police departments in the U.S. serve jurisdictions with fewer than 10,000 residents, policing practices in small towns are understudied. This is due in part to data limit...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"64 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141631346","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
High-dimensional propensity score and its machine learning extensions in residual confounding control 残余混杂控制中的高维倾向得分及其机器学习扩展
IF 1.8 4区 数学
American Statistician Pub Date : 2024-06-17 DOI: 10.1080/00031305.2024.2368794
Mohammad Ehsanul Karim
{"title":"High-dimensional propensity score and its machine learning extensions in residual confounding control","authors":"Mohammad Ehsanul Karim","doi":"10.1080/00031305.2024.2368794","DOIUrl":"https://doi.org/10.1080/00031305.2024.2368794","url":null,"abstract":"“The use of health care claims datasets often encounters criticism due to the pervasive issues of omitted variables and inaccuracies or mis-measurements in available confounders. Ultimately, the tr...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"51 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141436061","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
Integrative data analysis where partial covariates have complex non-linear effects by using summary information from an external data 利用外部数据的汇总信息，对部分协变量具有复杂非线性影响的数据进行整合分析
IF 1.8 4区 数学
American Statistician Pub Date : 2024-06-17 DOI: 10.1080/00031305.2024.2368799
Jia Liang, Shuo Chen, Peter Kochunov, L. Elliot Hong, Chixiang Chen
{"title":"Integrative data analysis where partial covariates have complex non-linear effects by using summary information from an external data","authors":"Jia Liang, Shuo Chen, Peter Kochunov, L. Elliot Hong, Chixiang Chen","doi":"10.1080/00031305.2024.2368799","DOIUrl":"https://doi.org/10.1080/00031305.2024.2368799","url":null,"abstract":"A full parametric and linear specification may be insufficient to capture complicated patterns in studies exploring complex features, such as those investigating age-related changes in brain functi...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"16 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141425530","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
Assessment and Continuous Improvement of an Undergraduate Data Science Program 本科数据科学课程的评估与持续改进
IF 1.8 4区 数学
American Statistician Pub Date : 2024-06-07 DOI: 10.1080/00031305.2024.2365673
Nicholas Clark, Christopher Morrell, Mike Powell
{"title":"Assessment and Continuous Improvement of an Undergraduate Data Science Program","authors":"Nicholas Clark, Christopher Morrell, Mike Powell","doi":"10.1080/00031305.2024.2365673","DOIUrl":"https://doi.org/10.1080/00031305.2024.2365673","url":null,"abstract":"In recent years, there has been an explosion in the growth of undergraduate statistics and data science programs across the US. Simultaneously, there has been clear guidance written on curriculum d...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"5 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141326824","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
Sequential monitoring using the Second Generation P-Value with Type I error controlled by monitoring frequency 使用第二代 P 值进行顺序监测，I 类误差由监测频率控制
IF 1.8 4区 数学
American Statistician Pub Date : 2024-05-28 DOI: 10.1080/00031305.2024.2356109
Jonathan J. Chipman, Robert A. Greevy Jr., Lindsay Mayberry, Jeffrey D. Blume
{"title":"Sequential monitoring using the Second Generation P-Value with Type I error controlled by monitoring frequency","authors":"Jonathan J. Chipman, Robert A. Greevy Jr., Lindsay Mayberry, Jeffrey D. Blume","doi":"10.1080/00031305.2024.2356109","DOIUrl":"https://doi.org/10.1080/00031305.2024.2356109","url":null,"abstract":"The Second Generation P-Value (SGPV) measures the overlap between an estimated interval and a composite hypothesis of parameter values. We develop a sequential monitoring scheme of the SGPV (SeqSGP...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"61 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141159781","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
The R2D2 prior for generalized linear mixed models 广义线性混合模型的 R2D2 先验
IF 1.8 4区 数学
American Statistician Pub Date : 2024-05-09 DOI: 10.1080/00031305.2024.2352010
Eric Yanchenko, Howard D. Bondell, Brian J. Reich
{"title":"The R2D2 prior for generalized linear mixed models","authors":"Eric Yanchenko, Howard D. Bondell, Brian J. Reich","doi":"10.1080/00031305.2024.2352010","DOIUrl":"https://doi.org/10.1080/00031305.2024.2352010","url":null,"abstract":"In Bayesian analysis, the selection of a prior distribution is typically done by considering each parameter in the model. While this can be convenient, in many scenarios it may be desirable to plac...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"37 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140914946","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
The Best Time to Play the Lottery 玩彩票的最佳时机
IF 1.8 4区 数学
American Statistician Pub Date : 2024-05-07 DOI: 10.1080/00031305.2024.2351999
Christopher M. Rump
{"title":"The Best Time to Play the Lottery","authors":"Christopher M. Rump","doi":"10.1080/00031305.2024.2351999","DOIUrl":"https://doi.org/10.1080/00031305.2024.2351999","url":null,"abstract":"The best time to play the lottery is when the jackpot has rolled over several times and grown large, but not so large that you must share the prize if you win. We examine maximizing the expected va...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"14 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140907424","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 Simple and Fast Algorithm for Generating Correlation Matrices with a Known Average Correlation Coefficient 利用已知平均相关系数生成相关矩阵的简单快速算法
IF 1.8 4区 数学
American Statistician Pub Date : 2024-05-02 DOI: 10.1080/00031305.2024.2350449
Niels G. Waller
{"title":"A Simple and Fast Algorithm for Generating Correlation Matrices with a Known Average Correlation Coefficient","authors":"Niels G. Waller","doi":"10.1080/00031305.2024.2350449","DOIUrl":"https://doi.org/10.1080/00031305.2024.2350449","url":null,"abstract":"This article describes a simple and fast algorithm for generating correlation matrices ( R) with a known average correlation. The algorithm should be useful for researchers desiring plausible R m...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"2014 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140914888","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
Binomial Confidence Intervals for Rare Events: Importance of Defining Margin of Error Relative to Magnitude of Proportion 罕见事件的二项式置信区间：定义相对于比例大小的误差幅度的重要性
IF 1.8 4区 数学
American Statistician Pub Date : 2024-05-02 DOI: 10.1080/00031305.2024.2350445
Owen McGrath, Kevin Burke
{"title":"Binomial Confidence Intervals for Rare Events: Importance of Defining Margin of Error Relative to Magnitude of Proportion","authors":"Owen McGrath, Kevin Burke","doi":"10.1080/00031305.2024.2350445","DOIUrl":"https://doi.org/10.1080/00031305.2024.2350445","url":null,"abstract":"Confidence interval performance is typically assessed in terms of two criteria: coverage probability and interval width (or margin of error). In this paper, we assess the performance of four common...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"43 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140915034","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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