Statistical Science最新文献_第9页

Comment: On Focusing, Soft and Strong Revision of Choquet Capacities and Their Role in Statistics 评论：关于Choquet能力的集中、软和强修正及其在统计中的作用

IF 5.7 1区数学

Statistical Science Pub Date : 2021-04-01 DOI: 10.1214/21-STS765D

Thomas Augustin, G. Schollmeyer

引用次数: 3

Rejoinder: Let’s Be Imprecise in Order to Be Precise (About What We Don’t Know) 复辩状：为了准确，让我们变得不准确（关于我们不知道的事情）

IF 5.7 1区数学

Statistical Science Pub Date : 2021-04-01 DOI: 10.1214/21-STS765REJ

Ruobin Gong, X. Meng

引用次数: 0

A Conversation with Dennis Cook 与丹尼斯·库克的对话

IF 5.7 1区数学

Statistical Science Pub Date : 2021-04-01 DOI: 10.1214/20-STS801

E. Bura, Bing Li, Lexin Li, C. Nachtsheim, D. Peña, C. Setodji, R. Weiss

{"title":"A Conversation with Dennis Cook","authors":"E. Bura, Bing Li, Lexin Li, C. Nachtsheim, D. Peña, C. Setodji, R. Weiss","doi":"10.1214/20-STS801","DOIUrl":"https://doi.org/10.1214/20-STS801","url":null,"abstract":"Dennis Cook is a Full Professor, School of Statistics, at the University of Minnesota. He received his BS degree in Mathematics from Northern Montana College, and MS and PhD degrees in Statistics from Kansas State University. He has served as Chair of the Department of Applied Statistics, Director of the Statistical Center and Director of the School of Statistics, all at the University of Minnesota.\u0000His research areas include dimension reduction, linear and nonlinear regression, experimental design, statistical diagnostics, statistical graphics and population genetics. He has authored over 200 research articles and is author or co-author of two textbooks— An Introduction to Regression Graphics and Applied Regression Including Computing and Graphics—and three research monographs, Influence and Residuals in Regression, Regression Graphics: Ideas for Studying Regressions through Graphics and An Introduction to Envelopes: Dimension Reduction for Efficient Estimation in Multivariate Statistics.\u0000He has served as Associate Editor of the Journal of the American Statistical Association, The Journal of Quality Technology, Biometrika, Journal of the Royal Statistical Society and Statistica Sinica. He is a four-time recipient of the Jack Youden Prize for Best Expository Paper in Technometrics as well as the Frank Wilcoxon Award for Best Technical Paper. He received the 2005 COPSS Fisher Lecture and Award, and he is a Fellow of the American Statistical Association and the Institute of Mathematical Statistics. The following conversation took place on March 22, 2019, following the banquet at the conference, “Cook’s Distance and Beyond: A Conference Celebrating the Contributions of R. Dennis Cook.” The interviewers were, Efstathia Bura (Effie), Bing Li, Lexin Li, Christopher Nachtsheim (Chris), Daniel Pena, Claude Messan Setodji and Robert Weiss (Rob).","PeriodicalId":51172,"journal":{"name":"Statistical Science","volume":"36 1","pages":"328-337"},"PeriodicalIF":5.7,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46070211","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}

引用次数: 0

Confidence Intervals for Seroprevalence 血清流行率的置信区间

IF 5.7 1区数学

Statistical Science Pub Date : 2021-03-27 DOI: 10.1214/21-sts844

T. DiCiccio, D. Ritzwoller, Joseph P. Romano, A. Shaikh

{"title":"Confidence Intervals for Seroprevalence","authors":"T. DiCiccio, D. Ritzwoller, Joseph P. Romano, A. Shaikh","doi":"10.1214/21-sts844","DOIUrl":"https://doi.org/10.1214/21-sts844","url":null,"abstract":"This paper concerns the construction of confidence intervals in standard seroprevalence surveys. In particular, we discuss methods for constructing confidence intervals for the proportion of individuals in a population infected with a disease using a sample of antibody test results and measurements of the test’s false positive and false negative rates. We begin by documenting erratic behavior in the coverage probabilities of standard Wald and percentile bootstrap intervals when applied to this problem. We then consider two alternative sets of intervals constructed with test inversion. The first set of intervals are approximate, using either asymptotic or bootstrap approximation to the finite-sample distribution of a chosen test statistic. We consider several choices of test statistic, including maximum likelihood estimators and generalized likelihood ratio statistics. We show with simulation that, at empirically relevant parameter values and sample sizes, the coverage probabilities for these intervals are close to their nominal level and are approximately equi-tailed. The second set of intervals are shown to contain the true parameter value with probability at least equal to the nominal level, but can be conservative in finite samples. © Institute of Mathematical Statistics, 2022","PeriodicalId":51172,"journal":{"name":"Statistical Science","volume":" ","pages":""},"PeriodicalIF":5.7,"publicationDate":"2021-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42265701","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}

引用次数: 4

Network Modeling in Biology: Statistical Methods for Gene and Brain Networks. 生物学中的网络建模：基因和大脑网络的统计方法》。

IF 3.9 1区数学

Statistical Science Pub Date : 2021-02-01 DOI: 10.1214/20-sts792

Y X Rachel Wang, Lexin Li, Jingyi Jessica Li, Haiyan Huang

引用次数: 0

Introduction to the Special Section 专题介绍

IF 5.7 1区数学

Statistical Science Pub Date : 2021-02-01 DOI: 10.1214/20-sts361ed

Yihong Wu, Harrison H. Zhou

引用次数: 0

Bipartite Causal Inference with Interference. 具有干扰的二部因果推理。

IF 5.7 1区数学

Statistical Science Pub Date : 2021-02-01 Epub Date: 2020-12-21 DOI: 10.1214/19-sts749

Corwin M Zigler, Georgia Papadogeorgou

{"title":"Bipartite Causal Inference with Interference.","authors":"Corwin M Zigler, Georgia Papadogeorgou","doi":"10.1214/19-sts749","DOIUrl":"https://doi.org/10.1214/19-sts749","url":null,"abstract":"Statistical methods to evaluate the effectiveness of interventions are increasingly challenged by the inherent interconnectedness of units. Specifically, a recent flurry of methods research has addressed the problem of interference between observations, which arises when one observational unit's outcome depends not only on its treatment but also the treatment assigned to other units. We introduce the setting of bipartite causal inference with interference, which arises when 1) treatments are defined on observational units that are distinct from those at which outcomes are measured and 2) there is interference between units in the sense that outcomes for some units depend on the treatments assigned to many other units. The focus of this work is to formulate definitions and several possible causal estimands for this setting, highlighting similarities and differences with more commonly considered settings of causal inference with interference. Towards an empirical illustration, an inverse probability of treatment weighted estimator is adapted from existing literature to estimate a subset of simplified, but interesting, estimands. The estimators are deployed to evaluate how interventions to reduce air pollution from 473 power plants in the U.S. causally affect cardiovascular hospitalization among Medicare beneficiaries residing at 18,807 zip code locations.","PeriodicalId":51172,"journal":{"name":"Statistical Science","volume":"36 1","pages":"109-123"},"PeriodicalIF":5.7,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8048152/pdf/nihms-1056137.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38804958","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}

引用次数: 49

A Conversation with Tze Leung Lai 与Tze Leung Lai的对话

IF 5.7 1区数学

Statistical Science Pub Date : 2021-02-01 DOI: 10.1214/20-sts775

Ying Lu, Dylan S. Small, Z. Ying

引用次数: 0

Comparison of Two Frameworks for Analyzing Longitudinal Data 两种纵向数据分析框架的比较

IF 5.7 1区数学

Statistical Science Pub Date : 2021-01-01 DOI: 10.1214/20-sts813

Jie Zhou, Xiao Zhou, Liuquan Sun

引用次数: 0

Confidence as Likelihood 信心即可能性

IF 5.7 1区数学

Statistical Science Pub Date : 2021-01-01 DOI: 10.1214/20-sts811

Y. Pawitan, Youngjo Lee

{"title":"Confidence as Likelihood","authors":"Y. Pawitan, Youngjo Lee","doi":"10.1214/20-sts811","DOIUrl":"https://doi.org/10.1214/20-sts811","url":null,"abstract":"Confidence and likelihood are fundamental statistical concepts with distinct technical interpretation and usage. Confidence is a meaningful concept of uncertainty within the context of confidence-interval procedure, while likelihood has been used predominantly as a tool for statistical modelling and inference given observed data. Here we show that confidence is in fact an extended likelihood, thus giving a much closer correspondence between the two concepts. This result gives the confidence concept an external meaning outside the confidence-interval context, and vice versa, it gives the confidence interpretation to the likelihood. In addition to the obvious interpretation purposes, this connection suggests two-way transfers of technical information. For example, the extended likelihood theory gives a clear way to update or combine confidence information. On the other hand, the confidence connection gives the extended likelihood direct access to the frequentist probability, an objective certification not directly available to the classical likelihood. This implies that intervals derived from the extended likelihood have the same logical status as confidence intervals, thus simplifying the terminology in the inference of random parameters.","PeriodicalId":51172,"journal":{"name":"Statistical Science","volume":"1 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66085566","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}

引用次数: 9