Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Diane, Uschner"'
Autor:
Keerti L. Dantuluri, Asare Buahin, Diane Uschner, Michael E. DeWitt, Whitney Rossman, Connell O. Dunn, Timothy C. Hetherington, Jennifer Priem, Paola Castri, William H. Lagarde, Michael Gibbs, Amina Ahmed, The COVID-19 Community Research Partnership
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Individuals with high social vulnerability index (SVI) have poorer outcomes with COVID-19. Masking reduces transmission of COVID-19 among children, but how SVI plays a role in masking behavior is unknown. We aimed to measure the a
Externí odkaz:
https://doaj.org/article/d629ebdab1af4af59c27a851689fd860
Autor:
Andrea A. Berry, Ashley H. Tjaden, Jone Renteria, DeAnna Friedman-Klabanoff, Amy N. Hinkelman, Michael A. Gibbs, Amina Ahmed, Michael S. Runyon, John Schieffelin, Robert P. Santos, Richard Oberhelman, Matthew Bott, Adolfo Correa, Sharon L. Edelstein, Diane Uschner, Thomas F. Wierzba
Publikováno v:
Vaccine: X, Vol 15, Iss , Pp 100371- (2023)
Introduction: High levels of immunity to SARS-CoV-2 in the community correlate with protection from COVID-19 illness. Measuring COVID-19 antibody seroprevalence and persistence may elucidate the level and length of protection afforded by vaccination
Externí odkaz:
https://doaj.org/article/2872260d95e14cb795b95b8f230c49c0
Autor:
Mihai Mititelu, MD, MPH, Diane Uschner, PhD, Lindsay Doherty, PhD, Petter Bjornstad, MD, Amitha Domalpally, MD, PhD, Kimberly L. Drews, PhD, Rose Gubitosi-Klug, MD, PhD, Lynne L. Levitsky, MD, Jeong W. Pak, PhD, Neil H. White, MD, Barbara A. Blodi, MD
Publikováno v:
Ophthalmology Science, Vol 2, Iss 4, Pp 100191- (2022)
Objective: To evaluate changes in retinal thickness and morphology using OCT in youth with type 2 diabetes (T2D) and to identify systemic biomarkers correlating with these changes. Design: Retrospective subgroup analysis of a prospective study. Parti
Externí odkaz:
https://doaj.org/article/f4bc5901cbbf4f9bb697f66b19e457c2
Autor:
Vance W. Berger, Louis Joseph Bour, Kerstine Carter, Jonathan J. Chipman, Colin C. Everett, Nicole Heussen, Catherine Hewitt, Ralf-Dieter Hilgers, Yuqun Abigail Luo, Jone Renteria, Yevgen Ryeznik, Oleksandr Sverdlov, Diane Uschner, for the Randomization Innovative Design Scientific Working Group
Publikováno v:
BMC Medical Research Methodology, Vol 21, Iss 1, Pp 1-24 (2021)
Abstract Background Randomization is the foundation of any clinical trial involving treatment comparison. It helps mitigate selection bias, promotes similarity of treatment groups with respect to important known and unknown confounders, and contribut
Externí odkaz:
https://doaj.org/article/944d0ea49c0f4280b17832e126e27c27
Autor:
John C. Williamson, Thomas F. Wierzba, Michele Santacatterina, Iqra Munawar, Austin L. Seals, Christine Ann Pittman Ballard, Martha Alexander-Miller, Michael S. Runyon, Lewis H. McCurdy, Michael A. Gibbs, Amina Ahmed, William H. Lagarde, Patrick D. Maguire, Robin King-Thiele, Terri Hamrick, Abdalla Ihmeidan, Shakira Henderson, T. Ryan Gallaher, Diane Uschner, Sharon L. Edelstein, David M. Herrington, John W. Sanders, on behalf of the North Carolina sites of the COVID-19 Community Research Partnership
Publikováno v:
PLoS ONE, Vol 17, Iss 3 (2022)
Introduction The COVID-19 Community Research Partnership is a population-based longitudinal syndromic and sero-surveillance study. The study includes over 17,000 participants from six healthcare systems in North Carolina who submitted over 49,000 ser
Externí odkaz:
https://doaj.org/article/e2b5b78289434c5a9b6791ec61f2912b
Autor:
Diane Uschner, Matthew Bott, William H. Lagarde, Joseph Keating, Hazel Tapp, Andrea A. Berry, Austin L. Seals, Iqra Munawar, John Schieffelin, Joshua Yukich, Michele Santacatterina, Mihili Gunaratne, Lida M. Fette, Brian Burke, Greg Strylewicz, Sharon L. Edelstein, Amina Ahmed, Kristen Miller, John W. Sanders, David Herrington, William S. Weintraub, Michael S. Runyon, on behalf of the COVID-19 Community Research Partnership
Publikováno v:
Vaccines, Vol 10, Iss 11, p 1922 (2022)
We characterize the overall incidence and risk factors for breakthrough infection among fully vaccinated participants in the North Carolina COVID-19 Community Research Partnership cohort. Among 15,808 eligible participants, 638 reported a positive SA
Externí odkaz:
https://doaj.org/article/5f68b27d2a0049da81098627abe70166
Autor:
Ashley H. Tjaden, Lida M. Fette, Sharon L. Edelstein, Michael Gibbs, Amy N. Hinkelman, Michael Runyon, Roberto P. Santos, William S. Weintraub, Joshua Yukich, Diane Uschner, the COVID-19 Community Research Partnership Study Group
Publikováno v:
Vaccines, Vol 10, Iss 7, p 1016 (2022)
Introduction: Observational studies of SARS-CoV-2 vaccine effectiveness depend on accurate ascertainment of vaccination receipt, date, and product type. Self-reported vaccine data may be more readily available to and less expensive for researchers th
Externí odkaz:
https://doaj.org/article/5d580b7773f340928e60bb50f0d461fa
Autor:
Ian D. Plumb, Lida M. Fette, Ashley H. Tjaden, Leora Feldstein, Sharon Saydah, Amina Ahmed, Ruth Link-Gelles, Thomas F. Wierzba, Andrea A. Berry, DeAnna Friedman-Klabanoff, Moira P. Larsen, Michael S. Runyon, Lori M. Ward, Roberto P. Santos, Johnathan Ward, William S. Weintraub, Sharon Edelstein, Diane Uschner
Publikováno v:
Vaccine. 41:2596-2604
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96c64e6e0f7a4315f3e6c026b0224e0e
https://doi.org/10.1016/j.vaccine.2023.03.006
https://doi.org/10.1016/j.vaccine.2023.03.006
Publikováno v:
Journal of Statistical Software, Vol 85, Iss 1, Pp 1-22 (2018)
Randomization in clinical trials is the key design technique to ensure the comparability of treatment groups. Although there exist a large number of software products which assist the researcher to implement randomization, no tool which would cover a
Externí odkaz:
https://doaj.org/article/0ed08035724d46779e8242c784604df2
Publikováno v:
BMC Medical Research Methodology, Vol 17, Iss 1, Pp 1-12 (2017)
Abstract Background Randomization is considered to be a key feature to protect against bias in randomized clinical trials. Randomization induces comparability with respect to known and unknown covariates, mitigates selection bias, and provides a basi
Externí odkaz:
https://doaj.org/article/3c4389c20be9453eb2a86fa20a47e378