A three-part model for the self-controlled case series design to estimate and characterize adverse event risk in an overlapping risk period after multiple vaccines: application to ischemic stroke following Pfizer-BioNTech bivalent COVID-19 vaccine and influenza vaccine.
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| Title: | A three-part model for the self-controlled case series design to estimate and characterize adverse event risk in an overlapping risk period after multiple vaccines: application to ischemic stroke following Pfizer-BioNTech bivalent COVID-19 vaccine and influenza vaccine. |
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| Authors: | Xu S; Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States.; Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, United States., Sy LS; Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States., Huang X; Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States., Hong V; Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States., Han B; Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States., Bruxvoort KJ; Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States.; Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, United States., Lewin B; Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States.; Department of Clinical Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, United States., Holmquist KJ; Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States., Qian L; Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States. |
| Source: | American journal of epidemiology [Am J Epidemiol] 2026 Mar 17; Vol. 195 (4), pp. 956-965. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: Oxford University Press Country of Publication: United States NLM ID: 7910653 Publication Model: Print Cited Medium: Internet ISSN: 1476-6256 (Electronic) Linking ISSN: 00029262 NLM ISO Abbreviation: Am J Epidemiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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