Using Administrative Data to Ascertain True Cases of Muscular Dystrophy: Rare Disease Surveillance

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Works citing "Using Administrative Data to Ascertain True Cases of Muscular Dystrophy: Rare Disease Surveillance"

Michael G Smith, Julie Royer, Joshua R Mann, Suzanne McDermott

JMIR Public Health Surveill 2017 (Jan 12); 3(1):e2

According to Crossref, the following articles are citing this article (DOI 10.2196/publichealth.6720):

(note that this is only a small subset of citations)

Do TN, Street N, Donnelly J, Adams MM, Cunniff C, Fox DJ, Weinert RO, Oleszek J, Romitti PA, Westfield CP, Bolen J. Muscular Dystrophy Surveillance, Tracking, and Research Network pilot: Population‐based surveillance of major muscular dystrophies at four U.S. sites, 2007–2011. Birth Defects Research 2018;110(19):1404
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Schwartz NRM, Crane DA, Doody DR, Schiff MA, Mueller BA. Assessment of the Accuracy of Identification of Selected Disabilities and Conditions in Hospital Discharge Data for Pregnant Women. Epidemiology 2020;31(5):687
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Salemi JL, Rutkowski RE, Tanner JP, Matas JL, Kirby RS. Identifying Algorithms to Improve the Accuracy of Unverified Diagnosis Codes for Birth Defects. Public Health Reports 2018;133(3):303
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Smith MG, Royer J, Mann J, McDermott S, Valdez R. Capture-recapture methodology to study rare conditions using surveillance data for fragile X syndrome and muscular dystrophy. Orphanet Journal of Rare Diseases 2017;12(1)
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According to Crossref, the following books are citing this article (DOI 10.2196/publichealth.6720):

Bennett KJ, Mann J, Ouyang L. Data Analytics in Medicine. 2020. chapter 54:1038
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