Exploring the Impact of Missing Death Data on Identification of Congenital Malformations in Insurance Claims Data.

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Bibliographic Details
Title: Exploring the Impact of Missing Death Data on Identification of Congenital Malformations in Insurance Claims Data.
Authors: Nickel KB; Department of Medicine, Division of Infectious Diseases, Washington University School of Medicine, St. Louis, Missouri, USA., Dublin S; Kaiser Permanente Washington Health Research Institute, Seattle, Washington, DC, USA.; Department of Epidemiology, University of Washington, Seattle, Washington, DC, USA., Fuller S; Kaiser Permanente Washington Health Research Institute, Seattle, Washington, DC, USA., Osmundson SS; Department of Obstetrics and Gynecology, Vanderbilt University Medical Center, Nashville, Tennessee, USA., Colvin R; Department of Medicine, Division of Infectious Diseases, Washington University School of Medicine, St. Louis, Missouri, USA., Stwalley D; Institute for Informatics, Washington University School of Medicine, St. Louis, Missouri, USA., Kharbanda EO; Pregnancy and Child Health Research Center, HealthPartners Institute, Minneapolis, Minnesota, USA., Panozzo CA; Epiphany Consulting, LLC, Pawtucket, Rhode Island, USA., Procknow SS; Department of Pediatrics, Division of Genetics & Genomic Medicine, Washington University School of Medicine, St. Louis, Missouri, USA., Butler AM; Department of Medicine, Division of Infectious Diseases, Washington University School of Medicine, St. Louis, Missouri, USA.; Department of Surgery, Division of Public Health Sciences, Washington University School of Medicine, St. Louis, Missouri, USA.
Source: Paediatric and perinatal epidemiology [Paediatr Perinat Epidemiol] 2026 May; Vol. 40 (4), pp. 471-476. Date of Electronic Publication: 2026 Apr 09.
Publication Type: Journal Article
Journal Info: Publisher: Blackwell Scientific Publications Country of Publication: England NLM ID: 8709766 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1365-3016 (Electronic) Linking ISSN: 02695022 NLM ISO Abbreviation: Paediatr Perinat Epidemiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1365-3016
DOI:10.1111/ppe.70146