{"product_id":"methodological-developments-in-data-linkage-hardcover","title":"Methodological Developments in Data Linkage - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eKatie Harron\u003c\/b\u003e (Author), \u003cb\u003eHarvey Goldstein\u003c\/b\u003e (Author), \u003cb\u003eChris Dibben\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eA comprehensive compilation of new developments in data linkage methodology\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe increasing availability of large administrative databases has led to a dramatic rise in the use of data linkage, yet the standard texts on linkage are still those which describe the seminal work from the 1950-60s, with some updates. Linkage and analysis of data across sources remains problematic due to lack of discriminatory and accurate identifiers, missing data and regulatory issues. Recent developments in data linkage methodology have concentrated on bias and analysis of linked data, novel approaches to organising relationships between databases and privacy-preserving linkage.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eMethodological Developments in Data Linkage \u003c\/i\u003ebrings together a collection of contributions from members of the international data linkage community, covering cutting edge methodology in this field. It presents opportunities and challenges provided by linkage of large and often complex datasets, including analysis problems, legal and security aspects, models for data access and the development of novel research areas. New methods for handling uncertainty in analysis of linked data, solutions for anonymised linkage and alternative models for data collection are also discussed.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e\u003ci\u003eKey Features\u003c\/i\u003e \u003c\/b\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003ePresents cutting edge methods for a topic of increasing importance to a wide range of research areas, with applications to data linkage systems internationally\u003c\/li\u003e \u003cli\u003eCovers the essential issues associated with data linkage today\u003c\/li\u003e \u003cli\u003eIncludes examples based on real data linkage systems, highlighting the opportunities, successes and challenges that the increasing availability of linkage data provides\u003c\/li\u003e \u003cli\u003eNovel approach incorporates technical aspects of both linkage, management and analysis of linked data\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThis book will be of core interest to academics, government employees, data holders, data managers, analysts and statisticians who use administrative data. It will also appeal to researchers in a variety of areas, including epidemiology, biostatistics, social statistics, informatics, policy and public health.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eA comprehensive compilation of new developments in data linkage methodology\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003eThe increasing availability of large administrative databases has led to a dramatic rise in the use of data linkage, yet the standard texts on linkage are still those which describe the seminal work from the 1950-60s, with some updates. Linkage and analysis of data across sources remains problematic due to lack of discriminatory and accurate identifiers, missing data and regulatory issues. Recent developments in data linkage methodology have concentrated on bias and analysis of linked data, novel approaches to organising relationships between databases and privacy-preserving linkage.\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003ci\u003eMethodological Developments in Data Linkage \u003c\/i\u003ebrings together a collection of contributions from members of the international data linkage community, covering cutting edge methodology in this field. It presents opportunities and challenges provided by linkage of large and often complex datasets, including analysis problems, legal and security aspects, models for data access and the development of novel research areas. New methods for handling uncertainty in analysis of linked data, solutions for anonymised linkage and alternative models for data collection are also discussed.\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003ci\u003eKey Features\u003c\/i\u003e \u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cul\u003e \u003cli\u003ePresents cutting edge methods for a topic of increasing importance to a wide range of research areas, with applications to data linkage systems internationally\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e \u003c\/p\u003e \u003cul\u003e \u003cli\u003eCovers the essential issues associated with data linkage today\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e \u003c\/p\u003e \u003cul\u003e \u003cli\u003eIncludes examples based on real data linkage systems, highlighting the opportunities, successes and challenges that the increasing availability of linkage data provides\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e \u003c\/p\u003e \u003cul\u003e \u003cli\u003eNovel approach incorporates technical aspects of both linkage, management and analysis of linked data\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003eThis book will be of core interest to academics, government employees, data holders, data managers, analysts and statisticians who use administrative data. It will also appeal to researchers in a variety of areas, including epidemiology, biostatistics, social statistics, informatics, policy and public health.\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eEditors\u003c\/i\u003e\u003c\/b\u003e\u003cb\u003e \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eKatie Harron, \u003c\/b\u003eLondon School of Hygiene and Tropical Medicine, UK\u003c\/p\u003e \u003cp\u003e\u003cb\u003eHarvey Goldstein, \u003c\/b\u003eUniversity of Bristol and University College London, UK\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChris Dibben, \u003c\/b\u003e University of Edinburgh, UK\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 288\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.7 x 9.6 x 6.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e December 14, 2015\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47213656965369,"sku":"9781118745878","price":165.53,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/MU3UL50oie9781118745878.webp?v=1768108951","url":"https:\/\/bookscloud.io\/products\/methodological-developments-in-data-linkage-hardcover","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}