Journal Article Learning Microeconometrics with R Get access Learning Microeconometrics with R by Christopher P. Adams, CRC Press, Chapman & Hall. 2021. xxx + 368pp. ISBN: 9780367255381, £77.99 (hbk) Morteza Aalabaf-Sabaghi Morteza Aalabaf-Sabaghi Economic Cooperation Organization, College of Insurance, and Allameh Tabataba’i University, Tehran, Iran aalabaf@atu.ac.ir https://orcid.org/0000-0002-3530-1482 Search for other works by this author on: Oxford Academic Google Scholar Journal of the Royal Statistical Society Series A: Statistics in Society, qnad117, https://doi.org/10.1093/jrsssa/qnad117 Published: 07 September 2023
{"title":"Learning Microeconometrics with R","authors":"Morteza Aalabaf-Sabaghi","doi":"10.1093/jrsssa/qnad117","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad117","url":null,"abstract":"Journal Article Learning Microeconometrics with R Get access Learning Microeconometrics with R by Christopher P. Adams, CRC Press, Chapman & Hall. 2021. xxx + 368pp. ISBN: 9780367255381, £77.99 (hbk) Morteza Aalabaf-Sabaghi Morteza Aalabaf-Sabaghi Economic Cooperation Organization, College of Insurance, and Allameh Tabataba’i University, Tehran, Iran aalabaf@atu.ac.ir https://orcid.org/0000-0002-3530-1482 Search for other works by this author on: Oxford Academic Google Scholar Journal of the Royal Statistical Society Series A: Statistics in Society, qnad117, https://doi.org/10.1093/jrsssa/qnad117 Published: 07 September 2023","PeriodicalId":49985,"journal":{"name":"Journal of the Royal Statistical Society","volume":"51 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134997459","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}
Abstract Ending the HIV/AIDS pandemic is among the sustainable development goals for the next decade. To overcome the problem caused by the imbalances between the need for care and the limited resources, we shall improve our understanding of the local HIV epidemics, especially for key populations at high risk of HIV infection. However, HIV prevalence rates for key populations have been difficult to estimate because their HIV surveillance data are very scarce. This paper develops a multivariate spatial model for predicting unknown HIV prevalence rates among key populations. The proposed multivariate conditional auto-regressive model efficiently pools information from neighbouring locations and correlated populations. As the real data analysis illustrates, it provides more accurate predictions than independently fitting the sub-epidemic for each key population. Furthermore, we investigate how different pieces of surveillance data contribute to the prediction and offer practical suggestions for epidemic data collection.
{"title":"Multivariate spatial modelling for predicting missing HIV prevalence rates among key populations","authors":"Zhou Lan, Le Bao","doi":"10.1093/jrsssa/qnad113","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad113","url":null,"abstract":"Abstract Ending the HIV/AIDS pandemic is among the sustainable development goals for the next decade. To overcome the problem caused by the imbalances between the need for care and the limited resources, we shall improve our understanding of the local HIV epidemics, especially for key populations at high risk of HIV infection. However, HIV prevalence rates for key populations have been difficult to estimate because their HIV surveillance data are very scarce. This paper develops a multivariate spatial model for predicting unknown HIV prevalence rates among key populations. The proposed multivariate conditional auto-regressive model efficiently pools information from neighbouring locations and correlated populations. As the real data analysis illustrates, it provides more accurate predictions than independently fitting the sub-epidemic for each key population. Furthermore, we investigate how different pieces of surveillance data contribute to the prediction and offer practical suggestions for epidemic data collection.","PeriodicalId":49985,"journal":{"name":"Journal of the Royal Statistical Society","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134997456","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}
Rebecca Pillinger, Fiona Steele, George Leckie, Jennifer Jenkins
Abstract Social relations models allow the identification of cluster, actor, partner, and relationship effects when analysing clustered dyadic data on interactions between individuals or other units of analysis. We propose an extension of this model which handles longitudinal data and incorporates dynamic structure, where the response may be continuous, binary, or ordinal. This allows the disentangling of the relationship effects from temporal fluctuation and measurement error and the investigation of whether individuals respond to their partner’s behaviour at the previous observation. We motivate and illustrate the model with an application to Canadian data on pairs of individuals within families observed working together on a conflict discussion task.
{"title":"A dynamic social relations model for clustered longitudinal dyadic data with continuous or ordinal responses","authors":"Rebecca Pillinger, Fiona Steele, George Leckie, Jennifer Jenkins","doi":"10.1093/jrsssa/qnad115","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad115","url":null,"abstract":"Abstract Social relations models allow the identification of cluster, actor, partner, and relationship effects when analysing clustered dyadic data on interactions between individuals or other units of analysis. We propose an extension of this model which handles longitudinal data and incorporates dynamic structure, where the response may be continuous, binary, or ordinal. This allows the disentangling of the relationship effects from temporal fluctuation and measurement error and the investigation of whether individuals respond to their partner’s behaviour at the previous observation. We motivate and illustrate the model with an application to Canadian data on pairs of individuals within families observed working together on a conflict discussion task.","PeriodicalId":49985,"journal":{"name":"Journal of the Royal Statistical Society","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135254505","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}
Abstract A review is given of paper by the author previously published in the Journal of the Indian Institute of Science.
对作者之前发表在《印度科学研究所杂志》上的一篇论文进行了综述。
{"title":"Fifty years with the Cox proportional hazards model: history, influence, and future","authors":"Per Kragh Andersen","doi":"10.1093/jrsssa/qnad114","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad114","url":null,"abstract":"Abstract A review is given of paper by the author previously published in the Journal of the Indian Institute of Science.","PeriodicalId":49985,"journal":{"name":"Journal of the Royal Statistical Society","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135253941","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}
Journal Article Handbook of Regression Modeling in People Analytics, With Examples in R and Python Get access Handbook of Regression Modeling in People Analytics, With Examples in R and Python by Keith McNulty, 1st edition, CRC Press. 2021. 255 pp. ISBN: 9781032041742, £59.99 (hbk) Adelson Piñón Adelson Piñón Independent Researcher, Santiago de Compostela, Spain adelsonpr@hotmail.com Search for other works by this author on: Oxford Academic Google Scholar Journal of the Royal Statistical Society Series A: Statistics in Society, qnad116, https://doi.org/10.1093/jrsssa/qnad116 Published: 30 August 2023
期刊文章手册的回归建模在人的分析，在R和Python的例子获得访问手册的回归建模在人的分析，在R和Python的例子由基思麦克纳尔蒂，第一版，CRC出版社。2021。255页。ISBN: 9781032041742, 59.99英镑(hbk) Adelson Piñón Adelson Piñón独立研究员，Santiago de Compostela，西班牙adelsonpr@hotmail.com搜索作者的其他作品:牛津学术b谷歌皇家统计学会学者杂志系列A:社会统计，qnad116, https://doi.org/10.1093/jrsssa/qnad116出版日期:2023年8月30日
{"title":"Handbook of Regression Modeling in People Analytics, With Examples in R and Python","authors":"Adelson Piñón","doi":"10.1093/jrsssa/qnad116","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad116","url":null,"abstract":"Journal Article Handbook of Regression Modeling in People Analytics, With Examples in R and Python Get access Handbook of Regression Modeling in People Analytics, With Examples in R and Python by Keith McNulty, 1st edition, CRC Press. 2021. 255 pp. ISBN: 9781032041742, £59.99 (hbk) Adelson Piñón Adelson Piñón Independent Researcher, Santiago de Compostela, Spain adelsonpr@hotmail.com Search for other works by this author on: Oxford Academic Google Scholar Journal of the Royal Statistical Society Series A: Statistics in Society, qnad116, https://doi.org/10.1093/jrsssa/qnad116 Published: 30 August 2023","PeriodicalId":49985,"journal":{"name":"Journal of the Royal Statistical Society","volume":"181 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136080843","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}
Journal Article Number Savvy: From the Invention of Numbers to the Future of Data Get access Number Savvy: From the Invention of Numbers to the Future of Data by George Sciadas, 1st edition, CRC Press. 2022. 296 pp. ISBN: 9781032357218, £22.99 (pbk) Adelson Piñón Adelson Piñón Independent Researcher, Santiago de Compostela, Spain adelsonpr@hotmail.com Search for other works by this author on: Oxford Academic Google Scholar Journal of the Royal Statistical Society Series A: Statistics in Society, qnad118, https://doi.org/10.1093/jrsssa/qnad118 Published: 30 August 2023
{"title":"Number Savvy: From the Invention of Numbers to the Future of Data","authors":"Adelson Piñón","doi":"10.1093/jrsssa/qnad118","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad118","url":null,"abstract":"Journal Article Number Savvy: From the Invention of Numbers to the Future of Data Get access Number Savvy: From the Invention of Numbers to the Future of Data by George Sciadas, 1st edition, CRC Press. 2022. 296 pp. ISBN: 9781032357218, £22.99 (pbk) Adelson Piñón Adelson Piñón Independent Researcher, Santiago de Compostela, Spain adelsonpr@hotmail.com Search for other works by this author on: Oxford Academic Google Scholar Journal of the Royal Statistical Society Series A: Statistics in Society, qnad118, https://doi.org/10.1093/jrsssa/qnad118 Published: 30 August 2023","PeriodicalId":49985,"journal":{"name":"Journal of the Royal Statistical Society","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136080842","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}
Ryota Nakamura, Andrea Albanese, Emma Coombes, Marc Suhrcke
Abstract This study investigates the impact of economic incentives on travel-related physical activity, leveraging the London Congestion Charge’s disincentivising of sedentary travel modes via increasing the cost of private car use within Central London. The scheme imposes charges on most types of cars entering, exiting, and operating within the Central London area, while individuals living inside the charging zone are eligible for a 90% reduction in congestion charges. Geographical location information provides the full-digit postcode data necessary to precisely identify the eligibility for the discount of participants in the London Travel Demand Survey for the period 2005–2011. Using a boundary regression-discontinuity design reveals a statistically significantly positive impact on active commuting (i.e. cycling and walking) around the border of the charging zone. The effect is larger for lower-income households and car owners. The findings are robust against multiple specifications and validation tests.
{"title":"Do economic incentives promote physical activity? Evidence from the London Congestion Charge","authors":"Ryota Nakamura, Andrea Albanese, Emma Coombes, Marc Suhrcke","doi":"10.1093/jrsssa/qnad112","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad112","url":null,"abstract":"Abstract This study investigates the impact of economic incentives on travel-related physical activity, leveraging the London Congestion Charge’s disincentivising of sedentary travel modes via increasing the cost of private car use within Central London. The scheme imposes charges on most types of cars entering, exiting, and operating within the Central London area, while individuals living inside the charging zone are eligible for a 90% reduction in congestion charges. Geographical location information provides the full-digit postcode data necessary to precisely identify the eligibility for the discount of participants in the London Travel Demand Survey for the period 2005–2011. Using a boundary regression-discontinuity design reveals a statistically significantly positive impact on active commuting (i.e. cycling and walking) around the border of the charging zone. The effect is larger for lower-income households and car owners. The findings are robust against multiple specifications and validation tests.","PeriodicalId":49985,"journal":{"name":"Journal of the Royal Statistical Society","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135771615","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}
Journal Article Handbook of Statistical Methods for Randomized Controlled Trials Get access Handbook of Statistical Methods for Randomized Controlled Trials by KyungMann Kim, Franj Bretz, Ying Kuen Cheung and Lisa V. Hampson (Eds.), Chapman & Hall/CRC: Statistics in the Behavioural Sciences Series. 2021, 620 pp, £205 (Hardback), ISBN 9781498714624 Dougal Hutchison Dougal Hutchison Department of Education, University of Oxford, Oxford, UK dougal.hutchison@qeh.ox.ac.uk Search for other works by this author on: Oxford Academic Google Scholar Journal of the Royal Statistical Society Series A: Statistics in Society, qnad105, https://doi.org/10.1093/jrsssa/qnad105 Published: 19 August 2023
《随机对照试验统计方法手册》，作者:KyungMann Kim, Franj Bretz, Ying Kuen Cheung和Lisa V. Hampson(主编)，Chapman & Hall/CRC:统计行为科学系列。2021,620页，£205(精装本)，ISBN 9781498714624杜格尔·哈奇森杜格尔·哈奇森教育部，牛津大学，牛津，英国dougal.hutchison@qeh.ox.ac.uk搜索作者的其他作品:牛津学术谷歌学者杂志皇家统计学会系列A:社会统计，qnad105, https://doi.org/10.1093/jrsssa/qnad105出版:2023年8月19日
{"title":"Handbook of Statistical Methods for Randomized Controlled Trials","authors":"Dougal Hutchison","doi":"10.1093/jrsssa/qnad105","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad105","url":null,"abstract":"Journal Article Handbook of Statistical Methods for Randomized Controlled Trials Get access Handbook of Statistical Methods for Randomized Controlled Trials by KyungMann Kim, Franj Bretz, Ying Kuen Cheung and Lisa V. Hampson (Eds.), Chapman & Hall/CRC: Statistics in the Behavioural Sciences Series. 2021, 620 pp, £205 (Hardback), ISBN 9781498714624 Dougal Hutchison Dougal Hutchison Department of Education, University of Oxford, Oxford, UK dougal.hutchison@qeh.ox.ac.uk Search for other works by this author on: Oxford Academic Google Scholar Journal of the Royal Statistical Society Series A: Statistics in Society, qnad105, https://doi.org/10.1093/jrsssa/qnad105 Published: 19 August 2023","PeriodicalId":49985,"journal":{"name":"Journal of the Royal Statistical Society","volume":"436 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135936653","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}
Journal Article Accepted manuscript Owen Abbott’s contribution to the Discussion of 'A system of population estimates compiled from administrative data only' by John Dunne and Li-Chun Zhang Get access Owen Abbott Owen Abbott Office for National Statistics, UK Email: Owen.abbott@ons.gov.uk https://orcid.org/0000-0003-3626-4828 Search for other works by this author on: Oxford Academic Google Scholar Journal of the Royal Statistical Society Series A: Statistics in Society, qnad103, https://doi.org/10.1093/jrsssa/qnad103 Published: 07 August 2023 Article history Received: 05 July 2023 Revision received: 10 July 2023 Published: 07 August 2023
{"title":"Owen Abbott’s contribution to the Discussion of 'A system of population estimates compiled from administrative data only' by John Dunne and Li-Chun Zhang","authors":"Owen Abbott","doi":"10.1093/jrsssa/qnad103","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad103","url":null,"abstract":"Journal Article Accepted manuscript Owen Abbott’s contribution to the Discussion of 'A system of population estimates compiled from administrative data only' by John Dunne and Li-Chun Zhang Get access Owen Abbott Owen Abbott Office for National Statistics, UK Email: Owen.abbott@ons.gov.uk https://orcid.org/0000-0003-3626-4828 Search for other works by this author on: Oxford Academic Google Scholar Journal of the Royal Statistical Society Series A: Statistics in Society, qnad103, https://doi.org/10.1093/jrsssa/qnad103 Published: 07 August 2023 Article history Received: 05 July 2023 Revision received: 10 July 2023 Published: 07 August 2023","PeriodicalId":49985,"journal":{"name":"Journal of the Royal Statistical Society","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135903262","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}
Journal Article Accepted manuscript Bernard Baffour’s contribution to the Discussion of ‘A system of population estimates compiled from administrative data only‘ by John Dunne and Li-Chun Zhang Get access Bernard Baffour Bernard Baffour School of Demography, Australian National University, Canberra, Australia Email: Bernard.Baffour@anu.edu.au Search for other works by this author on: Oxford Academic Google Scholar Journal of the Royal Statistical Society Series A: Statistics in Society, qnad104, https://doi.org/10.1093/jrsssa/qnad104 Published: 31 July 2023 Article history Received: 18 May 2023 Revision received: 05 June 2023 Published: 31 July 2023
期刊文章接受稿件Bernard Baffour对“仅从行政数据编制的人口估计系统”的讨论的贡献，由John Dunne和Li-Chun Zhang获得访问Bernard Baffour Bernard Baffour人口学院，澳大利亚堪培拉，澳大利亚国立大学，电子邮件:Bernard.Baffour@anu.edu.au搜索作者的其他作品:牛津学术谷歌学者皇家统计学会杂志系列A:社会统计，qnad104, https://doi.org/10.1093/jrsssa/qnad104发布日期:2023年7月31日文章历史收稿日期:2023年5月18日修稿日期:2023年6月05日发布日期:2023年7月31日
{"title":"Bernard Baffour’s contribution to the Discussion of ‘A system of population estimates compiled from administrative data only‘ by John Dunne and Li-Chun Zhang","authors":"Bernard Baffour","doi":"10.1093/jrsssa/qnad104","DOIUrl":"https://doi.org/10.1093/jrsssa/qnad104","url":null,"abstract":"Journal Article Accepted manuscript Bernard Baffour’s contribution to the Discussion of ‘A system of population estimates compiled from administrative data only‘ by John Dunne and Li-Chun Zhang Get access Bernard Baffour Bernard Baffour School of Demography, Australian National University, Canberra, Australia Email: Bernard.Baffour@anu.edu.au Search for other works by this author on: Oxford Academic Google Scholar Journal of the Royal Statistical Society Series A: Statistics in Society, qnad104, https://doi.org/10.1093/jrsssa/qnad104 Published: 31 July 2023 Article history Received: 18 May 2023 Revision received: 05 June 2023 Published: 31 July 2023","PeriodicalId":49985,"journal":{"name":"Journal of the Royal Statistical Society","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135208399","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}
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