دورية أكاديمية
Record linkage and big data-enhancing information and improving design.
| العنوان: | Record linkage and big data-enhancing information and improving design. |
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| المؤلفون: | Roos LL; Department of Community Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada; Manitoba Centre for Health Policy, University of Manitoba, Winnipeg, Manitoba, Canada. Electronic address: LeslieLJr.Roos@umanitoba.ca., Wall-Wieler E; Department of Community Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada; Manitoba Centre for Health Policy, University of Manitoba, Winnipeg, Manitoba, Canada., Burchill C; Department of Community Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada; Manitoba Centre for Health Policy, University of Manitoba, Winnipeg, Manitoba, Canada., Hamm NC; Department of Community Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada., Hamad AF; Department of Community Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada., Lix LM; Department of Community Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada. |
| المصدر: | Journal of clinical epidemiology [J Clin Epidemiol] 2022 Oct; Vol. 150, pp. 18-24. Date of Electronic Publication: 2022 Jun 26. |
| نوع المنشور: | Journal Article; Research Support, Non-U.S. Gov't |
| اللغة: | English |
| بيانات الدورية: | Publisher: Elsevier Country of Publication: United States NLM ID: 8801383 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-5921 (Electronic) Linking ISSN: 08954356 NLM ISO Abbreviation: J Clin Epidemiol Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: New York : Elsevier Original Publication: Oxford ; New York : Pergamon Press, c1988- |
| مواضيع طبية MeSH: | Medical Record Linkage*/methods , Big Data*, Humans ; Registries ; Manitoba |
| مستخلص: | Background and Objectives: To highlight the potential of multiple file record linkage. Linkage increases the value of existing information by supplying missing data or correcting errors in existing data, through generating important covariates, and by using family information to control for unmeasured variables and expand research opportunities. Methods: Recent Manitoba papers highlight the use of linkage to produce better studies. Specific ways in which linkage helps deal with different substantive issues are described. Results: Wide data files-files containing considerable amounts of information on each individual-generated by linkage improve research by facilitating better design. Nonexperimental work in particular benefits from such linkages. Population registries are especially valuable in supplying family data to facilitate work across different substantive fields. Conclusion: Several examples show how record linkage magnifies the value of information from individual projects. The results of observational studies become more defensible through the better designs facilitated by such linkage. (Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.) |
| معلومات مُعتمدة: | PJT-162111 Canada CIHR |
| فهرسة مساهمة: | Keywords: Covariates; Design; Family data; Observational studies; Registries; Research possibilities |
| تواريخ الأحداث: | Date Created: 20220627 Date Completed: 20221216 Latest Revision: 20221222 |
| رمز التحديث: | 20231215 |
| DOI: | 10.1016/j.jclinepi.2022.06.006 |
| PMID: | 35760238 |
| قاعدة البيانات: | MEDLINE |
Full Text via ClinicalKey 
Full Text Finder | تدمد: | 1878-5921 |
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| DOI: | 10.1016/j.jclinepi.2022.06.006 |