This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (1340) Electronic Health Records (971) Clinical Informatics (919) Tools, Programs and Algorithms (246)

Published on in Vol 24, No 9 (2022): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33775, first published .
The Data-Adaptive Fellegi-Sunter Model for Probabilistic Record Linkage: Algorithm Development and Validation for Incorporating Missing Data and Field Selection

The Data-Adaptive Fellegi-Sunter Model for Probabilistic Record Linkage: Algorithm Development and Validation for Incorporating Missing Data and Field Selection

The Data-Adaptive Fellegi-Sunter Model for Probabilistic Record Linkage: Algorithm Development and Validation for Incorporating Missing Data and Field Selection

Authors of this article:

Xiaochun Li1 Author Orcid Image ;   Huiping Xu1 Author Orcid Image ;   Shaun Grannis2 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Xiaochun Li   1 * , PhD ;   Huiping Xu   1 * , PhD ;   Shaun Grannis   2 , MD

1 Department of Biostatistics and Health Data Science, Indiana University School of Medicine, The Richard M. Fairbanks School of Public Health, Indianapolis, IN, United States

2 Data and Analytics, Regenstrief Institute Inc., Indiana University School of Medicine, Indianapolis, IN, United States

*these authors contributed equally

Corresponding Author:

  • Xiaochun Li, PhD
  • Department of Biostatistics and Health Data Science
  • Indiana University School of Medicine
  • The Richard M. Fairbanks School of Public Health
  • HITS, Suite 3000
  • 410 W 10th St.
  • Indianapolis, IN, 46202
  • United States
  • Phone: 1 317 274 2696
  • Email: xiaochun@iu.edu