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Identifying birth defects in automated data sources in the Vaccine Safety Datalink
Authors:Elyse Olshen Kharbanda  Gabriela Vazquez‐Benitez  Paul A Romitti  Allison L Naleway  T Craig Cheetham  Heather S Lipkind  Shanthi Sivanandam  Nicola P Klein  Grace M Lee  Michael L Jackson  Simon J Hambidge  Avalow Olsen  Natalie McCarthy  Frank DeStefano  James D Nordin
Institution:1. HealthPartners Institute, Minneapolis, MN, USA;2. University of Iowa, Iowa City, IA, USA;3. Center for Health Research Kaiser Permanente Northwest, Portland, OR, USA;4. Kaiser Permanente Southern California, Los Angeles, CA, USA;5. Yale University School of Medicine, New Haven, CT, USA;6. University of Minnesota, Minneapolis, MN, USA;7. Kaiser Permanente Northern California, San Francisco, CA, USA;8. Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA, USA;9. Group Health Research Institute, Seattle, WA, USA;10. Institute for Health Research, Kaiser Permanente Colorado and Ambulatory Care Services, Denver Health, Denver, CO, USA;11. Centers for Disease Control and Prevention, Atlanta, GA, USA
Abstract:
Keywords:congenital anomalies  electronic health data  prevalence  validity  pharmacoepidemiology  pharmacoepidemiology
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