International Statistical Review最新文献_第7页

Improving Probabilistic Record Linkage Using Statistical Prediction Models 利用统计预测模型改进概率记录链接

IF 2 3区数学

International Statistical Review Pub Date : 2022-12-04 DOI: 10.1111/insr.12535

Angelo Moretti, N. Shlomo

引用次数: 0

Elaboration Models with Symmetric Information Divergence. 具有对称信息发散的精化模型。

IF 2 3区数学

International Statistical Review Pub Date : 2022-12-01 Epub Date: 2022-04-20 DOI: 10.1111/insr.12499

Majid Asadi, Karthik Devarajan, Nader Ebrahimi, Ehsan S Soofi, Lauren Spirko-Burns

{"title":"Elaboration Models with Symmetric Information Divergence.","authors":"Majid Asadi, Karthik Devarajan, Nader Ebrahimi, Ehsan S Soofi, Lauren Spirko-Burns","doi":"10.1111/insr.12499","DOIUrl":"10.1111/insr.12499","url":null,"abstract":"<p><p>Various statistical methodologies embed a probability distribution in a more flexible family of distributions. The latter is called <i>elaboration model</i>, which is constructed by choice or a formal procedure and evaluated by asymmetric measures such as the likelihood ratio and Kullback-Leibler information. The use of asymmetric measures can be problematic for this purpose. This paper introduces two formal procedures, referred to as link functions, that embed any baseline distribution with a continuous density on the real line into model elaborations. Conditions are given for the link functions to render symmetric Kullback-Leibler divergence, Rényi divergence, and phi-divergence family. The first link function elaborates quantiles of the baseline probability distribution. This approach produces continuous counterparts of the binary probability models. Examples include the Cauchy, probit, logit, Laplace, and Student-<i>t</i> links. The second link function elaborates the baseline survival function. Examples include the proportional odds and change point links. The logistic distribution is characterized as the one that satisfies the conditions for both links. An application demonstrates advantages of symmetric divergence measures for assessing the efficacy of covariates.</p>","PeriodicalId":14479,"journal":{"name":"International Statistical Review","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10193517/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9509528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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: 0

A joint normal-binary (probit) model 一个联合正态二值(probit)模型

IF 2 3区数学

International Statistical Review Pub Date : 2022-11-08 DOI: 10.1111/insr.12532

Margaux Delporte, Steffen Fieuws, Geert Molenberghs, Geert Verbeke, Simeon Situma Wanyama, Elpis Hatziagorou, Christiane De Boeck

{"title":"A joint normal-binary (probit) model","authors":"Margaux Delporte, Steffen Fieuws, Geert Molenberghs, Geert Verbeke, Simeon Situma Wanyama, Elpis Hatziagorou, Christiane De Boeck","doi":"10.1111/insr.12532","DOIUrl":"10.1111/insr.12532","url":null,"abstract":"<div>\u0000 \u0000 <p>In biomedical research, often hierarchical binary and continuous responses need to be jointly modelled. In joint generalised linear mixed models, this can be done with correlated random effects, which allows examining the association structure between the various responses and the evolution of this association over time. In addition, the effect of covariates on all outcomes can be assessed simultaneously. Still, investigating this association is often limited to examining the correlations between the responses on an underlying scale. In addition, the interpretation of this hierarchical model is conditional on the subject-specific random effects. This paper extends this approach and shows how manifest correlations can be computed, that is, the associations between the observed responses. Further, a marginal model is formulated, in which the interpretation is no longer conditional on the random effects. In addition, prediction intervals are derived of one subvector of responses conditional on the other. These methods are applied in a case study of the lung function and allergic bronchopulmonary aspergillosis in patients with cystic fibrosis.</p>\u0000 </div>","PeriodicalId":14479,"journal":{"name":"International Statistical Review","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44702563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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: 1

Likelihood-Based Inference for the Finite Population Mean with Post-Stratification Information Under Non-Ignorable Non-Response 不可忽略非响应下具有分层后信息的有限总体均值的似然推断

IF 2 3区数学

International Statistical Review Pub Date : 2022-10-25 DOI: 10.1111/insr.12527

Sahar Z. Zangeneh, Roderick J. Little

引用次数: 1

Global seasonal and pandemic patterns in influenza: An application of longitudinal study designs 流感的全球季节性和大流行模式:纵向研究设计的应用

IF 2 3区数学

International Statistical Review Pub Date : 2022-10-23 DOI: 10.1111/insr.12529

Elena N. Naumova, Ryan B. Simpson, Bingjie Zhou, Meghan A. Hartwick

{"title":"Global seasonal and pandemic patterns in influenza: An application of longitudinal study designs","authors":"Elena N. Naumova, Ryan B. Simpson, Bingjie Zhou, Meghan A. Hartwick","doi":"10.1111/insr.12529","DOIUrl":"10.1111/insr.12529","url":null,"abstract":"<div>\u0000 \u0000 <p>The confluence of growing analytic capacities and global surveillance systems for seasonal infections has created new opportunities to further develop statistical methodology and advance the understanding of the global disease dynamics. We developed a framework to characterise the seasonality of infectious diseases for publicly available global health surveillance data. Specifically, we aimed to estimate the seasonal characteristics and their uncertainty using mixed effects models with harmonic components and the δ-method and develop multi-panel visualisations to present complex interplay of seasonal peaks across geographic locations. We compiled a set of 2 422 weekly time series of 14 reported outcomes for 173 Member States from the World Health Organization's (WHO) international influenza virological surveillance system, FluNet, from 02 January 1995 through 20 June 2021. We produced an analecta of data visualisations to describe global travelling waves of influenza while addressing issues of data completeness and credibility. Our results offer directions for further improvements in data collection, reporting, analysis and development of statistical methodology and predictive approaches.</p>\u0000 </div>","PeriodicalId":14479,"journal":{"name":"International Statistical Review","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2022-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41356663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Synergy of Biostatistics and Epidemiology in Air Pollution Health Effects Studies 生物统计学和流行病学在空气污染健康影响研究中的协同作用

IF 2 3区数学

International Statistical Review Pub Date : 2022-10-21 DOI: 10.1111/insr.12525

Douglas W. Dockery

引用次数: 1

Path algorithms for fused lasso signal approximator with application to COVID-19 spread in Korea 融合套索信号逼近器路径算法及其在国内COVID-19传播中的应用

IF 2 3区数学

International Statistical Review Pub Date : 2022-10-19 DOI: 10.1111/insr.12521

Won Son, Johan Lim, Donghyeon Yu

{"title":"Path algorithms for fused lasso signal approximator with application to COVID-19 spread in Korea","authors":"Won Son, Johan Lim, Donghyeon Yu","doi":"10.1111/insr.12521","DOIUrl":"10.1111/insr.12521","url":null,"abstract":"<div>\u0000 \u0000 <p>The fused lasso signal approximator (FLSA) is a smoothing procedure for noisy observations that uses fused lasso penalty on unobserved mean levels to find sparse signal blocks. Several path algorithms have been developed to obtain the whole solution path of the FLSA. However, it is known that the FLSA has model selection inconsistency when the underlying signals have a stair-case block, where three consecutive signal blocks are either strictly increasing or decreasing. Modified path algorithms for the FLSA have been proposed to guarantee model selection consistency regardless of the stair-case block. In this paper, we provide a comprehensive review of the path algorithms for the FLSA and prove the properties of the recently modified path algorithms' hitting times. Specifically, we reinterpret the modified path algorithm as the path algorithm for local FLSA problems and reveal the condition that the hitting time for the fusion of the modified path algorithm is not monotone in a tuning parameter. To recover the monotonicity of the solution path, we propose a pathwise adaptive FLSA having monotonicity with similar performance as the modified solution path algorithm. Finally, we apply the proposed method to the number of daily-confirmed cases of COVID-19 in Korea to identify the change points of its spread.</p>\u0000 </div>","PeriodicalId":14479,"journal":{"name":"International Statistical Review","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9874640/pdf/INSR-9999-0.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10584381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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: 1

Accounting for Non-ignorable Sampling and Non-response in Statistical Matching 统计匹配中不可忽略抽样和无响应的解释

IF 2 3区数学

International Statistical Review Pub Date : 2022-10-19 DOI: 10.1111/insr.12524

Daniela Marella, Danny Pfeffermann

引用次数: 1

Thinking Clearly with Data: A Guide to Quantitative Reasoning and AnalysisEthan BuenodeMesquita and AnthonyFowlerPrinceton University Press, 2021, 400 pages, $95.00/£74.00, hardback ISBN: 978‐0‐691‐21436‐8 用数据清晰思考:定量推理和分析指南伊桑·布埃诺·德梅斯基塔和安东尼·福斯特普林斯顿大学出版社，2021年，400页，95.00美元/ 74.00英镑，精装本ISBN: 978‐0‐691‐21436‐8

IF 2 3区数学

International Statistical Review Pub Date : 2022-10-19 DOI: 10.1111/insr.12530

G. Dekkers

引用次数: 3

A Bootstrap Variance Procedure for the Generalised Regression Estimator 广义回归估计量的自举方差法

IF 2 3区数学

International Statistical Review Pub Date : 2022-10-19 DOI: 10.1111/insr.12528

Marius Stefan, Michael A. Hidiroglou

{"title":"A Bootstrap Variance Procedure for the Generalised Regression Estimator","authors":"Marius Stefan, Michael A. Hidiroglou","doi":"10.1111/insr.12528","DOIUrl":"10.1111/insr.12528","url":null,"abstract":"<div>\u0000 \u0000 <p>The generalised regression estimator (GREG) uses auxiliary data that are available from the finite population to improve the efficiency of the estimator of a total (mean). Estimators of the variance of GREG that have been proposed in the sampling literature include those based on Taylor linearisation and the jackknife techniques. Approximations based on Taylor expansions are reasonable for large samples. However, when the sample size is small, the Taylor-based variance estimator has a large negative bias. The jackknife variance estimators overestimate the variance of GREG for small sample sizes. We offset these setbacks using a bootstrap procedure for estimating the variance of the GREG. The method uses a bootstrap population constructed with the model underlying the GREG estimator. Repeated samples are selected in the bootstrap population according to the design used to select the initial sample, and the variability associated with these bootstrap samples is used to compute the proposed bootstrap variance estimator. Simulations show that the new bootstrap estimator has a small bias for samples that have few observations.</p>\u0000 </div>","PeriodicalId":14479,"journal":{"name":"International Statistical Review","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48498860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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