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Sarah Henry and Katie O’Farrell’s contribution to the Discussion of 'A system of population estimates compiled from administrative data only' by John Dunne and Li-Chun Zhang Sarah Henry和Katie O ' farrell对John Dunne和Li-Chun Zhang关于“仅从行政数据编制的人口估计系统”的讨论的贡献
IF 2 3区 数学
Journal of the Royal Statistical Society Series A-Statistics in Society Pub Date : 2023-08-11 DOI: 10.1093/jrsssa/qnad095
Sarah Henry, K. O’Farrell
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引用次数: 0
Biostatistics Decoded 生物统计学解码
IF 2 3区 数学
Journal of the Royal Statistical Society Series A-Statistics in Society Pub Date : 2023-08-08 DOI: 10.1093/jrsssa/qnad093
Mukesh Srivastava
{"title":"Biostatistics Decoded","authors":"Mukesh Srivastava","doi":"10.1093/jrsssa/qnad093","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad093","url":null,"abstract":"Description: Study design and statistical methodology are two important concerns for the clinical researcher. This book sets out to address both issues in a clear and concise manner. The presentation of statistical theory starts from basic concepts, such as the properties of means and variances, the properties of the Normal distribution and the Central Limit Theorem and leads to more advanced topics such as maximum likelihood estimation, inverse variance and stepwise regression as well as, time–to–event, and event–count methods. Furthermore, this book explores sampling methods, study design and statistical methods and is organized according to the areas of application of each of the statistical methods and the corresponding study designs. Illustrations, working examples, computer simulations and geometrical approaches, rather than mathematical expressions and formulae, are used throughout the book to explain every statistical method. Biostatisticians and researchers in the medical and pharmaceutical industry who need guidance on the design and analyis of medical research will find this book useful as well as graduate students of statistics and mathematics with an interest in biostatistics Biostatistics Decoded:-Provides clear explanations of key statistical concepts with a firm emphasis on practical aspects of design and analysis of medical research.-Features worked examples to illustrate each statistical method using computer simulations and geometrical approaches, rather than mathematical expressions and formulae.-Explores the main types of clinical research studies, such as, descriptive, analytical and experimental studies.-Addresses advanced modeling techniques such as interaction analysis and encoding by reference and polynomial regression.","PeriodicalId":49983,"journal":{"name":"Journal of the Royal Statistical Society Series A-Statistics in Society","volume":"66 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74724939","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: 6
Heterogeneity in the US gender wage gap 美国性别工资差距的异质性
IF 2 3区 数学
Journal of the Royal Statistical Society Series A-Statistics in Society Pub Date : 2023-08-08 DOI: 10.1093/jrsssa/qnad091
Philipp Bach, V. Chernozhukov, M. Spindler
{"title":"Heterogeneity in the US gender wage gap","authors":"Philipp Bach, V. Chernozhukov, M. Spindler","doi":"10.1093/jrsssa/qnad091","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad091","url":null,"abstract":"As a measure of gender inequality, the gender wage gap has come to play an important role both in academic research and the public debate. In 2016, the majority of full-time employed women in the United States earned significantly less than comparable men. The extent to which women were affected by gender inequality in earnings, however, depended greatly on socio-economic characteristics, such as marital status or educational attainment. In this paper, we analyse data from the 2016 American Community Survey using a high-dimensional wage regression and applying double lasso to quantify heterogeneity in the gender wage gap. We find that the wage gap varied substantially across women and that the magnitude of the gap varied primarily by marital status, having children at home, race, occupation, industry, and educational attainment. These insights are helpful in designing policies that can reduce discrimination and unequal pay more effectively.","PeriodicalId":49983,"journal":{"name":"Journal of the Royal Statistical Society Series A-Statistics in Society","volume":"8 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89258581","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
A celebration of 50 years of the Cox model in memory of Sir David Cox 为纪念大卫·考克斯爵士，庆祝考克斯模型诞生50周年
IF 2 3区 数学
Journal of the Royal Statistical Society Series A-Statistics in Society Pub Date : 2023-08-07 DOI: 10.1093/jrsssa/qnad087
A. .. Lawrance
{"title":"A celebration of 50 years of the Cox model in memory of Sir David Cox","authors":"A. .. Lawrance","doi":"10.1093/jrsssa/qnad087","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad087","url":null,"abstract":"","PeriodicalId":49983,"journal":{"name":"Journal of the Royal Statistical Society Series A-Statistics in Society","volume":"53 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75895971","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
Paul Allin’s contribution to the Discussion of “ A system of population estimates compiled from administrative data only “ by John Dunne and Li-Chun Zhang 保罗·阿林对约翰·邓恩和张立春讨论“仅从行政数据编制的人口估计系统”的贡献
IF 2 3区 数学
Journal of the Royal Statistical Society Series A-Statistics in Society Pub Date : 2023-08-04 DOI: 10.1093/jrsssa/qnad102
P. Allin
{"title":"Paul Allin’s contribution to the Discussion of “ A system of population estimates compiled from administrative data only “ by John Dunne and Li-Chun Zhang","authors":"P. Allin","doi":"10.1093/jrsssa/qnad102","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad102","url":null,"abstract":"","PeriodicalId":49983,"journal":{"name":"Journal of the Royal Statistical Society Series A-Statistics in Society","volume":"27 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85072337","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
A non-parametric panel model for climate data with seasonal and spatial variation 具有季节和空间变化的气候数据的非参数面板模型
IF 2 3区 数学
Journal of the Royal Statistical Society Series A-Statistics in Society Pub Date : 2023-08-03 DOI: 10.1093/jrsssa/qnad086
Jiti Gao, O. Linton, B. Peng
{"title":"A non-parametric panel model for climate data with seasonal and spatial variation","authors":"Jiti Gao, O. Linton, B. Peng","doi":"10.1093/jrsssa/qnad086","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad086","url":null,"abstract":"\u0000 We consider a panel data model that allows for heterogeneous time trends at different locations. The model is well suited to identifying trends in climate data recorded at multiple stations. We propose a new estimation method for the model and derive an asymptotic theory for the proposed estimation method. For inferential purposes, we develop a bootstrap method for the case where weak correlation presents in both dimensions of the error terms. We examine the finite-sample properties of the proposed model and estimation method through extensive simulated studies. Finally, we use the newly proposed model and method to investigate monthly rainfall, temperature, and sunshine data of the UK, respectively. Overall, we find spring and winter have changed significantly over the past 50 years. Changes vary with respect to locations for the other seasons.","PeriodicalId":49983,"journal":{"name":"Journal of the Royal Statistical Society Series A-Statistics in Society","volume":"32 4 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87664791","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
Crime by the Numbers: A Criminologist’s Guide to R 数字犯罪:犯罪学家的R指南
IF 2 3区 数学
Journal of the Royal Statistical Society Series A-Statistics in Society Pub Date : 2023-08-02 DOI: 10.1093/jrsssa/qnad092
V. Kalyani
{"title":"Crime by the Numbers: A Criminologist’s Guide to R","authors":"V. Kalyani","doi":"10.1093/jrsssa/qnad092","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad092","url":null,"abstract":"","PeriodicalId":49983,"journal":{"name":"Journal of the Royal Statistical Society Series A-Statistics in Society","volume":"37 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85147041","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
Wasserstein barycenter for link prediction in temporal networks 时间网络中链路预测的Wasserstein重心
IF 2 3区 数学
Journal of the Royal Statistical Society Series A-Statistics in Society Pub Date : 2023-08-02 DOI: 10.1093/jrsssa/qnad088
A. Spelta, N. Pecora
{"title":"Wasserstein barycenter for link prediction in temporal networks","authors":"A. Spelta, N. Pecora","doi":"10.1093/jrsssa/qnad088","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad088","url":null,"abstract":"\u0000 We propose a flexible link forecast methodology for weighted temporal networks. Our probabilistic model estimates the evolving link dynamics among a set of nodes through Wasserstein barycentric coordinates arising within the optimal transport theory. Optimal transport theory is employed to interpolate among network evolution sequences and to compute the probability distribution of forthcoming links. Besides generating point link forecasts for weighted networks, the methodology provides the probability that a link attains weights in a certain interval, namely a quantile of the weights distribution. We test our approach to forecast the link dynamics of the worldwide Foreign Direct Investments network and of the World Trade Network, comparing the performance of the proposed methodology against several alternative models. The performance is evaluated by applying non-parametric diagnostics derived from binary classifications and error measures for regression models. We find that the optimal transport framework outperforms all the competing models when considering quantile forecast. On the other hand, for point forecast, our methodology produces accurate results that are comparable with the best performing alternative model. Results also highlight the role played by model constraints in the determination of future links emphasising that weights are better predicted when accounting for geographical rather than economic distance.","PeriodicalId":49983,"journal":{"name":"Journal of the Royal Statistical Society Series A-Statistics in Society","volume":"23 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73410662","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
Predictive Analytics Using Statistics and Big Data: Concepts and Modelling 使用统计和大数据的预测分析:概念和建模
IF 2 3区 数学
Journal of the Royal Statistical Society Series A-Statistics in Society Pub Date : 2023-08-02 DOI: 10.1093/jrsssa/qnad089
D. Thangam
{"title":"Predictive Analytics Using Statistics and Big Data: Concepts and Modelling","authors":"D. Thangam","doi":"10.1093/jrsssa/qnad089","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad089","url":null,"abstract":"","PeriodicalId":49983,"journal":{"name":"Journal of the Royal Statistical Society Series A-Statistics in Society","volume":"12 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89660961","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
Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS 使用R和SAS的中介、混淆和调节分析的统计方法
IF 2 3区 数学
Journal of the Royal Statistical Society Series A-Statistics in Society Pub Date : 2023-08-02 DOI: 10.1093/jrsssa/qnad090
S. Lazic
{"title":"Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS","authors":"S. Lazic","doi":"10.1093/jrsssa/qnad090","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad090","url":null,"abstract":"","PeriodicalId":49983,"journal":{"name":"Journal of the Royal Statistical Society Series A-Statistics in Society","volume":"5 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75748964","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
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