Cargando…
Evaluating the impact of alternative phenotype definitions on incidence rates across a global data network
OBJECTIVE: Developing accurate phenotype definitions is critical in obtaining reliable and reproducible background rates in safety research. This study aims to illustrate the differences in background incidence rates by comparing definitions for a given outcome. MATERIALS AND METHODS: We used 16 dat...
Autores principales: | Makadia, Rupa, Shoaibi, Azza, Rao, Gowtham A, Ostropolets, Anna, Rijnbeek, Peter R, Voss, Erica A, Duarte-Salles, Talita, Ramírez-Anguita, Juan Manuel, Mayer, Miguel A, Maljković, Filip, Denaxas, Spiros, Nyberg, Fredrik, Papez, Vaclav, Sena, Anthony G, Alshammari, Thamir M, Lai, Lana Y H, Haynes, Kevin, Suchard, Marc A, Hripcsak, George, Ryan, Patrick B |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10662662/ https://www.ncbi.nlm.nih.gov/pubmed/38028730 http://dx.doi.org/10.1093/jamiaopen/ooad096 |
Ejemplares similares
-
Phenotype Algorithms for the Identification and Characterization of Vaccine-Induced Thrombotic Thrombocytopenia in Real World Data: A Multinational Network Cohort Study
por: Shoaibi, Azza, et al.
Publicado: (2022) -
Factors Influencing Background Incidence Rate Calculation: Systematic Empirical Evaluation Across an International Network of Observational Databases
por: Ostropolets, Anna, et al.
Publicado: (2022) -
Characterising the background incidence rates of adverse events of special interest for covid-19 vaccines in eight countries: multinational network cohort study
por: Li, Xintong, et al.
Publicado: (2021) -
Characterizing the incidence of adverse events of special interest for COVID-19 vaccines across eight countries: a multinational network cohort study
por: Li, Xintong, et al.
Publicado: (2021) -
Contextualising adverse events of special interest to characterise the baseline incidence rates in 24 million patients with COVID-19 across 26 databases: a multinational retrospective cohort study
por: Voss, Erica A., et al.
Publicado: (2023)