Author: Thomas N. Herzog
Publisher: Springer Science & Business Media
ISBN: 0387695052
Category : Computers
Languages : en
Pages : 225
Book Description
This book offers a practical understanding of issues involved in improving data quality through editing, imputation, and record linkage. The first part of the book deals with methods and models, focusing on the Fellegi-Holt edit-imputation model, the Little-Rubin multiple-imputation scheme, and the Fellegi-Sunter record linkage model. The second part presents case studies in which these techniques are applied in a variety of areas, including mortgage guarantee insurance, medical, biomedical, highway safety, and social insurance as well as the construction of list frames and administrative lists. This book offers a mixture of practical advice, mathematical rigor, management insight and philosophy.
Data Quality and Record Linkage Techniques
Author: Thomas N. Herzog
Publisher: Springer Science & Business Media
ISBN: 0387695052
Category : Computers
Languages : en
Pages : 225
Book Description
This book offers a practical understanding of issues involved in improving data quality through editing, imputation, and record linkage. The first part of the book deals with methods and models, focusing on the Fellegi-Holt edit-imputation model, the Little-Rubin multiple-imputation scheme, and the Fellegi-Sunter record linkage model. The second part presents case studies in which these techniques are applied in a variety of areas, including mortgage guarantee insurance, medical, biomedical, highway safety, and social insurance as well as the construction of list frames and administrative lists. This book offers a mixture of practical advice, mathematical rigor, management insight and philosophy.
Publisher: Springer Science & Business Media
ISBN: 0387695052
Category : Computers
Languages : en
Pages : 225
Book Description
This book offers a practical understanding of issues involved in improving data quality through editing, imputation, and record linkage. The first part of the book deals with methods and models, focusing on the Fellegi-Holt edit-imputation model, the Little-Rubin multiple-imputation scheme, and the Fellegi-Sunter record linkage model. The second part presents case studies in which these techniques are applied in a variety of areas, including mortgage guarantee insurance, medical, biomedical, highway safety, and social insurance as well as the construction of list frames and administrative lists. This book offers a mixture of practical advice, mathematical rigor, management insight and philosophy.
Methodological Developments in Data Linkage
Author: Katie Harron
Publisher: John Wiley & Sons
ISBN: 1118745876
Category : Medical
Languages : en
Pages : 286
Book Description
A comprehensive compilation of new developments in data linkage methodology The 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. Methodological Developments in Data Linkage brings 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. Key Features: Presents cutting edge methods for a topic of increasing importance to a wide range of research areas, with applications to data linkage systems internationally Covers the essential issues associated with data linkage today Includes examples based on real data linkage systems, highlighting the opportunities, successes and challenges that the increasing availability of linkage data provides Novel approach incorporates technical aspects of both linkage, management and analysis of linked data This 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.
Publisher: John Wiley & Sons
ISBN: 1118745876
Category : Medical
Languages : en
Pages : 286
Book Description
A comprehensive compilation of new developments in data linkage methodology The 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. Methodological Developments in Data Linkage brings 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. Key Features: Presents cutting edge methods for a topic of increasing importance to a wide range of research areas, with applications to data linkage systems internationally Covers the essential issues associated with data linkage today Includes examples based on real data linkage systems, highlighting the opportunities, successes and challenges that the increasing availability of linkage data provides Novel approach incorporates technical aspects of both linkage, management and analysis of linked data This 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.
Data Matching
Author: Peter Christen
Publisher: Springer Science & Business Media
ISBN: 3642311644
Category : Computers
Languages : en
Pages : 279
Book Description
Data matching (also known as record or data linkage, entity resolution, object identification, or field matching) is the task of identifying, matching and merging records that correspond to the same entities from several databases or even within one database. Based on research in various domains including applied statistics, health informatics, data mining, machine learning, artificial intelligence, database management, and digital libraries, significant advances have been achieved over the last decade in all aspects of the data matching process, especially on how to improve the accuracy of data matching, and its scalability to large databases. Peter Christen’s book is divided into three parts: Part I, “Overview”, introduces the subject by presenting several sample applications and their special challenges, as well as a general overview of a generic data matching process. Part II, “Steps of the Data Matching Process”, then details its main steps like pre-processing, indexing, field and record comparison, classification, and quality evaluation. Lastly, part III, “Further Topics”, deals with specific aspects like privacy, real-time matching, or matching unstructured data. Finally, it briefly describes the main features of many research and open source systems available today. By providing the reader with a broad range of data matching concepts and techniques and touching on all aspects of the data matching process, this book helps researchers as well as students specializing in data quality or data matching aspects to familiarize themselves with recent research advances and to identify open research challenges in the area of data matching. To this end, each chapter of the book includes a final section that provides pointers to further background and research material. Practitioners will better understand the current state of the art in data matching as well as the internal workings and limitations of current systems. Especially, they will learn that it is often not feasible to simply implement an existing off-the-shelf data matching system without substantial adaption and customization. Such practical considerations are discussed for each of the major steps in the data matching process.
Publisher: Springer Science & Business Media
ISBN: 3642311644
Category : Computers
Languages : en
Pages : 279
Book Description
Data matching (also known as record or data linkage, entity resolution, object identification, or field matching) is the task of identifying, matching and merging records that correspond to the same entities from several databases or even within one database. Based on research in various domains including applied statistics, health informatics, data mining, machine learning, artificial intelligence, database management, and digital libraries, significant advances have been achieved over the last decade in all aspects of the data matching process, especially on how to improve the accuracy of data matching, and its scalability to large databases. Peter Christen’s book is divided into three parts: Part I, “Overview”, introduces the subject by presenting several sample applications and their special challenges, as well as a general overview of a generic data matching process. Part II, “Steps of the Data Matching Process”, then details its main steps like pre-processing, indexing, field and record comparison, classification, and quality evaluation. Lastly, part III, “Further Topics”, deals with specific aspects like privacy, real-time matching, or matching unstructured data. Finally, it briefly describes the main features of many research and open source systems available today. By providing the reader with a broad range of data matching concepts and techniques and touching on all aspects of the data matching process, this book helps researchers as well as students specializing in data quality or data matching aspects to familiarize themselves with recent research advances and to identify open research challenges in the area of data matching. To this end, each chapter of the book includes a final section that provides pointers to further background and research material. Practitioners will better understand the current state of the art in data matching as well as the internal workings and limitations of current systems. Especially, they will learn that it is often not feasible to simply implement an existing off-the-shelf data matching system without substantial adaption and customization. Such practical considerations are discussed for each of the major steps in the data matching process.
Record Linkage and Privacy
Author:
Publisher:
ISBN:
Category : Electronic records
Languages : en
Pages : 174
Book Description
Publisher:
ISBN:
Category : Electronic records
Languages : en
Pages : 174
Book Description
Record Linkage and Privacy
Author: United States. General Accounting Office
Publisher: DIANE Publishing
ISBN: 1428949291
Category : Electronic records
Languages : en
Pages : 172
Book Description
Publisher: DIANE Publishing
ISBN: 1428949291
Category : Electronic records
Languages : en
Pages : 172
Book Description
Data-Driven Policy Impact Evaluation
Author: Nuno Crato
Publisher: Springer
ISBN: 3319784617
Category : Political Science
Languages : en
Pages : 344
Book Description
In the light of better and more detailed administrative databases, this open access book provides statistical tools for evaluating the effects of public policies advocated by governments and public institutions. Experts from academia, national statistics offices and various research centers present modern econometric methods for an efficient data-driven policy evaluation and monitoring, assess the causal effects of policy measures and report on best practices of successful data management and usage. Topics include data confidentiality, data linkage, and national practices in policy areas such as public health, education and employment. It offers scholars as well as practitioners from public administrations, consultancy firms and nongovernmental organizations insights into counterfactual impact evaluation methods and the potential of data-based policy and program evaluation.
Publisher: Springer
ISBN: 3319784617
Category : Political Science
Languages : en
Pages : 344
Book Description
In the light of better and more detailed administrative databases, this open access book provides statistical tools for evaluating the effects of public policies advocated by governments and public institutions. Experts from academia, national statistics offices and various research centers present modern econometric methods for an efficient data-driven policy evaluation and monitoring, assess the causal effects of policy measures and report on best practices of successful data management and usage. Topics include data confidentiality, data linkage, and national practices in policy areas such as public health, education and employment. It offers scholars as well as practitioners from public administrations, consultancy firms and nongovernmental organizations insights into counterfactual impact evaluation methods and the potential of data-based policy and program evaluation.
Record Linkage Techniques, 1985
Author: Beth Kilss
Publisher:
ISBN:
Category : Dual record systems
Languages : en
Pages : 412
Book Description
Publisher:
ISBN:
Category : Dual record systems
Languages : en
Pages : 412
Book Description
Handbook Of Health Research Methods: Investigation, Measurement And Analysis
Author: Bowling, Ann
Publisher: McGraw-Hill Education (UK)
ISBN: 0335214606
Category : Medical
Languages : en
Pages : 639
Book Description
Handbook of Health Research Methods is an essential tool for researchers and postgraduate students taking masters courses, or undertaking doctoral programmes, in health services evaluation, health sciences, health management, public health, nursing, sociology, socio-biology, medicine and epidemiology. However, the book also appeals to health professionals who wish to broaden their knowledge of research methods in order to make effective policy and practice decisions.
Publisher: McGraw-Hill Education (UK)
ISBN: 0335214606
Category : Medical
Languages : en
Pages : 639
Book Description
Handbook of Health Research Methods is an essential tool for researchers and postgraduate students taking masters courses, or undertaking doctoral programmes, in health services evaluation, health sciences, health management, public health, nursing, sociology, socio-biology, medicine and epidemiology. However, the book also appeals to health professionals who wish to broaden their knowledge of research methods in order to make effective policy and practice decisions.
Encyclopedia of Measurement and Statistics
Author: Neil J. Salkind
Publisher: SAGE Publications
ISBN: 1452261466
Category : Social Science
Languages : en
Pages : 1417
Book Description
The Encyclopedia of Measurement and Statistics presents state-of-the-art information and ready-to-use facts from the fields of measurement and statistics in an unintimidating style. The ideas and tools contained in these pages are approachable and can be invaluable for understanding our very technical world and the increasing flow of information. Although there are references that cover statistics and assessment in depth, none provides as comprehensive a resource in as focused and accessible a manner as the three volumes of this Encyclopedia. Through approximately 500 contributions, experts provide an overview and an explanation of the major topics in these two areas.
Publisher: SAGE Publications
ISBN: 1452261466
Category : Social Science
Languages : en
Pages : 1417
Book Description
The Encyclopedia of Measurement and Statistics presents state-of-the-art information and ready-to-use facts from the fields of measurement and statistics in an unintimidating style. The ideas and tools contained in these pages are approachable and can be invaluable for understanding our very technical world and the increasing flow of information. Although there are references that cover statistics and assessment in depth, none provides as comprehensive a resource in as focused and accessible a manner as the three volumes of this Encyclopedia. Through approximately 500 contributions, experts provide an overview and an explanation of the major topics in these two areas.
EBOOK: Handbook of Health Research Methods: Investigation, Measurement and Analysis
Author: Ann Bowling
Publisher: McGraw-Hill Education (UK)
ISBN: 0335224369
Category : Education
Languages : en
Pages : 640
Book Description
"an ideal set text" Angela Scriven, Course Leader, Brunel University Which research method should I use to evaluate services? How do I design a questionnaire? How do I conduct a systematic review of research? This handbook helps researchers to plan, carry out, and analyse health research, and evaluate the quality of research studies. The book takes a multidisciplinary approach to enable researchers from different disciplines to work side-by-side in the investigation of population health, the evaluation of health care, and in health care delivery. Handbook of Health Research Methods is an essential tool for researchers and postgraduate students taking masters courses, or undertaking doctoral programmes, in health services evaluation, health sciences, health management, public health, nursing, sociology, socio-biology, medicine and epidemiology. However, the book also appeals to health professionals who wish to broaden their knowledge of research methods in order to make effective policy and practice decisions. Contributors: Joy Adamson, Geraldine Barrett, Jane P. Biddulph, Ann Bowling, Sara Brookes, Jackie Brown, Simon Carter, Michel P. Coleman, Paul Cullinan, George Davey Smith, Paul Dieppe, Jenny Donovan, Craig Duncan, Shah Ebrahim, Vikki Entwistle, Clare Harries, Lesley Henderson, Kelvyn Jones, Olga Kostopoulou, Sarah J. Lewis, Richard Martin, Martin McKee, Graham Moon, Ellen Nolte, Alan O’Rourke, Ann Oakley, Tim Peters, Tina Ramkalawan, Caroline Sanders, Mary Shaw, Andrew Steptoe, Jonathan Sterne, Anne Stiggelbout, S.V. Subramanian, Kate Tilling, Liz Twigg, Suzanne Wait.
Publisher: McGraw-Hill Education (UK)
ISBN: 0335224369
Category : Education
Languages : en
Pages : 640
Book Description
"an ideal set text" Angela Scriven, Course Leader, Brunel University Which research method should I use to evaluate services? How do I design a questionnaire? How do I conduct a systematic review of research? This handbook helps researchers to plan, carry out, and analyse health research, and evaluate the quality of research studies. The book takes a multidisciplinary approach to enable researchers from different disciplines to work side-by-side in the investigation of population health, the evaluation of health care, and in health care delivery. Handbook of Health Research Methods is an essential tool for researchers and postgraduate students taking masters courses, or undertaking doctoral programmes, in health services evaluation, health sciences, health management, public health, nursing, sociology, socio-biology, medicine and epidemiology. However, the book also appeals to health professionals who wish to broaden their knowledge of research methods in order to make effective policy and practice decisions. Contributors: Joy Adamson, Geraldine Barrett, Jane P. Biddulph, Ann Bowling, Sara Brookes, Jackie Brown, Simon Carter, Michel P. Coleman, Paul Cullinan, George Davey Smith, Paul Dieppe, Jenny Donovan, Craig Duncan, Shah Ebrahim, Vikki Entwistle, Clare Harries, Lesley Henderson, Kelvyn Jones, Olga Kostopoulou, Sarah J. Lewis, Richard Martin, Martin McKee, Graham Moon, Ellen Nolte, Alan O’Rourke, Ann Oakley, Tim Peters, Tina Ramkalawan, Caroline Sanders, Mary Shaw, Andrew Steptoe, Jonathan Sterne, Anne Stiggelbout, S.V. Subramanian, Kate Tilling, Liz Twigg, Suzanne Wait.