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A Bayesian approach to estimate annual bilateral migration flows for South America using census data 使用人口普查数据估计南美年度双边移民流动的贝叶斯方法
Journal of the Royal Statistical Society Pub Date : 2023-11-15 DOI: 10.1093/jrsssa/qnad127
Andrea Aparicio Castro, Arkadiusz Wiśniowski, Francisco Rowe
{"title":"A Bayesian approach to estimate annual bilateral migration flows for South America using census data","authors":"Andrea Aparicio Castro, Arkadiusz Wiśniowski, Francisco Rowe","doi":"10.1093/jrsssa/qnad127","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad127","url":null,"abstract":"Abstract Censuses are an important source of international migration flow data. However, their use is limited since they indirectly reflect migration, capturing migrant transitions over long intervals rather than migration events, whilst also underestimating the number of infants and deaths. Censuses also neglect migration of those who are native-born when they only include questions on country of birth, and have sparse temporal availability. We propose a Bayesian hierarchical model to overcome these limitations and produce a set of robust annual migration flow estimates for South American countries. Our model translates five-year transition data from censuses into annual series, corrects biases that arise due to differences in measurement and census data quality across countries, and is grounded in migration theory to impute missing migration data between censuses.","PeriodicalId":49985,"journal":{"name":"Journal of the Royal Statistical Society","volume":"4 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136229038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Exploring Modeling with Data and Differential Equations Using R 用R探索用数据和微分方程建模
Journal of the Royal Statistical Society Pub Date : 2023-11-14 DOI: 10.1093/jrsssa/qnad133
Stanley E Lazic
{"title":"Exploring Modeling with Data and Differential Equations Using R","authors":"Stanley E Lazic","doi":"10.1093/jrsssa/qnad133","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad133","url":null,"abstract":"Journal Article Exploring Modeling with Data and Differential Equations Using R Get access Exploring Modeling with Data and Differential Equations Using R, by John Zobitz, 2022, Chapman & Hall/CRC Press, Boca Raton, FL, 356 pages, £74.99 (Hardcover), ISBN: 978-1032259482 Stanley E Lazic Stanley E Lazic Prioris.ai Inc., Canada stan.lazic@cantab.net https://orcid.org/0000-0002-3409-3407 Search for other works by this author on: Oxford Academic Google Scholar Journal of the Royal Statistical Society Series A: Statistics in Society, qnad133, https://doi.org/10.1093/jrsssa/qnad133 Published: 14 November 2023","PeriodicalId":49985,"journal":{"name":"Journal of the Royal Statistical Society","volume":"106 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134956910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Representative pure risk estimation by using data from epidemiologic studies, surveys, and registries: estimating risks for minority subgroups 通过使用流行病学研究、调查和登记的数据进行具有代表性的纯风险估计:估计少数亚群的风险
Journal of the Royal Statistical Society Pub Date : 2023-11-10 DOI: 10.1093/jrsssa/qnad124
Lingxiao Wang, Yan Li, Barry I Graubard, Hormuzd A Katki
{"title":"Representative pure risk estimation by using data from epidemiologic studies, surveys, and registries: estimating risks for minority subgroups","authors":"Lingxiao Wang, Yan Li, Barry I Graubard, Hormuzd A Katki","doi":"10.1093/jrsssa/qnad124","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad124","url":null,"abstract":"Abstract Representative risk estimation is fundamental to clinical decision-making. However, risks are often estimated from non-representative epidemiologic studies, which usually under-represent minorities. Model-based methods use population registries to improve external validity of risk estimation but assume hazard ratios are generalisable from samples to the target finite population. ‘Pseudoweighting’ methods improve representativeness of studies by using an external probability-based survey as the reference, but the resulting estimators can be biased due to propensity model misspecification and inefficient due to highly variable pseudoweights or small sample sizes of minorities in the cohort and/or survey. We propose a two-step pseudoweighting procedure that post-stratifies the event rates among age/race/sex strata in the pseudoweighted cohort to the population rates, to produce efficient and robust pure risk estimation (i.e. a cause-specific absolute risk in the absence of competing events). For developing an all-cause mortality risk model representative for the USA, our findings suggest that hazard ratios for minorities are not generalisable, and that surveys can have inadequate numbers of events for minorities. Post-stratification on event rates is crucial for obtaining reliable risk estimation for minority subgroups.","PeriodicalId":49985,"journal":{"name":"Journal of the Royal Statistical Society","volume":" 1203","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135186451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Calyampudi Radhakrishna (CR) Rao 1920–2023 卡利安普迪-拉达克里希纳（CR）-拉奥 1920-2023
Journal of the Royal Statistical Society Pub Date : 2023-11-10 DOI: 10.1093/jrsssa/qnad131
{"title":"Calyampudi Radhakrishna (CR) Rao 1920–2023","authors":"","doi":"10.1093/jrsssa/qnad131","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad131","url":null,"abstract":"","PeriodicalId":49985,"journal":{"name":"Journal of the Royal Statistical Society","volume":" 588","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135185967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Where the bee sucks: a dynamic Bayesian network approach to decision support for pollinator abundance strategies 蜜蜂在哪里吮吸:传粉媒介丰度策略决策支持的动态贝叶斯网络方法
Journal of the Royal Statistical Society Pub Date : 2023-11-02 DOI: 10.1093/jrsssa/qnad126
Martine J Barons, Aditi Shenvi
{"title":"Where the bee sucks: a dynamic Bayesian network approach to decision support for pollinator abundance strategies","authors":"Martine J Barons, Aditi Shenvi","doi":"10.1093/jrsssa/qnad126","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad126","url":null,"abstract":"Abstract For policymakers wishing to make evidence-based decisions, one of the challenges is how to combine the relevant information and evidence in a coherent and defensible manner in order to formulate and evaluate candidate policies. Policymakers often need to rely on experts with disparate fields of expertise when making policy choices in complex, multi-faceted, dynamic environments such as those dealing with ecosystem services. The pressures affecting the survival and pollination capabilities of honey bees (Apis mellifera), wild bees, and other pollinators is well documented, but incomplete. In order to estimate the potential effectiveness of various candidate policies to support pollination services, there is an urgent need to quantify the effect of various combinations of variables on the pollination ecosystem service, utilising available information, models and expert judgement. In this paper, we present a new application of the integrating decision support system methodology, using dynamic Bayesian networks, for combining inputs from multiple panels of experts to evaluate policies to support an abundant pollinator population.","PeriodicalId":49985,"journal":{"name":"Journal of the Royal Statistical Society","volume":"54 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135976143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A groupwise approach for inferring heterogeneous treatment effects in causal inference 在因果推理中推断异质性治疗效果的分组方法
Journal of the Royal Statistical Society Pub Date : 2023-11-01 DOI: 10.1093/jrsssa/qnad125
Chan Park, Hyunseung Kang
{"title":"A groupwise approach for inferring heterogeneous treatment effects in causal inference","authors":"Chan Park, Hyunseung Kang","doi":"10.1093/jrsssa/qnad125","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad125","url":null,"abstract":"Abstract Recently, there has been great interest in estimating the conditional average treatment effect using flexible machine learning methods. However, in practice, investigators often have working hypotheses about effect heterogeneity across pre-defined subgroups of study units, which we call the groupwise approach. The paper compares two modern ways to estimate groupwise treatment effects, a non-parametric approach and a semi-parametric approach, with the goal of better informing practice. Specifically, we compare (a) the underlying assumptions, (b) efficiency and adaption to the underlying data generating models, and (c) a way to combine the two approaches. We also discuss how to test a key assumption concerning the semi-parametric estimator and to obtain cluster-robust standard errors if study units in the same subgroups are correlated. We demonstrate our findings by conducting simulation studies and reanalysing the Early Childhood Longitudinal Study.","PeriodicalId":49985,"journal":{"name":"Journal of the Royal Statistical Society","volume":"69 3-4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135455542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Sanmitra Ghosh’s contribution to the Discussion of “The Second Discussion Meeting on Statistical aspects of the Covid-19 Pandemic” Sanmitra Ghosh对“关于Covid-19大流行统计方面的第二次讨论会议”讨论的贡献
Journal of the Royal Statistical Society Pub Date : 2023-10-20 DOI: 10.1093/jrsssa/qnad048
Sanmita Ghosh
{"title":"Sanmitra Ghosh’s contribution to the Discussion of “The Second Discussion Meeting on Statistical aspects of the Covid-19 Pandemic”","authors":"Sanmita Ghosh","doi":"10.1093/jrsssa/qnad048","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad048","url":null,"abstract":"","PeriodicalId":49985,"journal":{"name":"Journal of the Royal Statistical Society","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135617571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Introduction to Statistics and Data Analysis (with Exercises, Solutions and Applications in R) 统计与数据分析概论(附R语言练习、解决方案和应用)
Journal of the Royal Statistical Society Pub Date : 2023-10-18 DOI: 10.1093/jrsssa/qnad123
Anoop Chaturvedi
{"title":"Introduction to Statistics and Data Analysis (with Exercises, Solutions and Applications in R)","authors":"Anoop Chaturvedi","doi":"10.1093/jrsssa/qnad123","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad123","url":null,"abstract":"Journal Article Introduction to Statistics and Data Analysis (with Exercises, Solutions and Applications in R) Get access Introduction to Statistics and Data Analysis (with Exercises, Solutions and Applications in R) by Christian Heumann, Michael Schomaker and Shalabh, Springer, 2023. 2nd Edition, 584pp. ISBN: 978-3-031-11832-6 (hardback), 978-3-031-11833-3 (e-book), EUR 84.99 (hardback), EUR 71.68 (e-book) Anoop Chaturvedi Anoop Chaturvedi Department of Statistics, University of Allahabad, Prayagraj, 211004, India anoopchaturv@gmail.com https://orcid.org/0000-0002-7322-3331 Search for other works by this author on: Oxford Academic Google Scholar Journal of the Royal Statistical Society Series A: Statistics in Society, qnad123, https://doi.org/10.1093/jrsssa/qnad123 Published: 18 October 2023","PeriodicalId":49985,"journal":{"name":"Journal of the Royal Statistical Society","volume":"228 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135824385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Perspectives in Sustainable Equity Investing 可持续股权投资的视角
Journal of the Royal Statistical Society Pub Date : 2023-09-26 DOI: 10.1093/jrsssa/qnad121
Suryakumar Murugaiah
{"title":"Perspectives in Sustainable Equity Investing","authors":"Suryakumar Murugaiah","doi":"10.1093/jrsssa/qnad121","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad121","url":null,"abstract":"Journal Article Perspectives in Sustainable Equity Investing Get access Perspectives in Sustainable Equity Investing edited by Guillaume Coqueret, 1st edition, CRC Press. 2022. ix + 193 pp. ISBN 9781032071015. £49.99 (hardback) & £17.09 (eBook) Suryakumar Murugaiah Suryakumar Murugaiah Department of Management Studies, Periyar University, Salem, India suryakumarmprims@periyaruniversity.ac.in https://orcid.org/0000-0003-3872-3776 Search for other works by this author on: Oxford Academic Google Scholar Journal of the Royal Statistical Society Series A: Statistics in Society, qnad121, https://doi.org/10.1093/jrsssa/qnad121 Published: 26 September 2023","PeriodicalId":49985,"journal":{"name":"Journal of the Royal Statistical Society","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135719009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Authors’ reply to the Discussion of “A system of population estimates compiled from administrative data only” by John Dunne and Li-Chun Zhang 对约翰·邓恩、张立春关于“仅从行政数据编制的人口估计体系”的讨论的答复
Journal of the Royal Statistical Society Pub Date : 2023-09-14 DOI: 10.1093/jrsssa/qnad120
John Dunne, Li-chun Zhang
{"title":"Authors’ reply to the Discussion of “A system of population estimates compiled from administrative data only” by John Dunne and Li-Chun Zhang","authors":"John Dunne, Li-chun Zhang","doi":"10.1093/jrsssa/qnad120","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad120","url":null,"abstract":"Journal Article Accepted manuscript Authors’ reply to the Discussion of “A system of population estimates compiled from administrative data only” by John Dunne and Li-Chun Zhang Get access John Dunne, John Dunne Central Statistics Office (CSO), Cork, Ireland E-mail: John.Dunne@cso.ie Search for other works by this author on: Oxford Academic Google Scholar Li-chun Zhang Li-chun Zhang University of Southampton, Southampton, United Kingdom Search for other works by this author on: Oxford Academic Google Scholar Journal of the Royal Statistical Society Series A: Statistics in Society, qnad120, https://doi.org/10.1093/jrsssa/qnad120 Published: 14 September 2023 Article history Received: 28 August 2023 Accepted: 31 August 2023 Published: 14 September 2023","PeriodicalId":49985,"journal":{"name":"Journal of the Royal Statistical Society","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135552837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","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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