Bias, Precision and Timeliness of Historical (Background) Rate Comparison Methods for Vaccine Safety Monitoring: An Empirical Multi-Database Analysis

Bias, Precision and Timeliness of Historical (Background) Rate Comparison Methods for Vaccine Safety Monitoring: An Empirical Multi-Database Analysis

Using real-world data and past vaccination data, we conducted a large-scale experiment to quantify bias, precision and timeliness of different study designs to estimate historical background (expected) compared to post-vaccination (observed) rates of safety events for several vaccines. We used negat...

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Auteurs principaux: Xintong Li, Lana YH Lai, Anna Ostropolets, Faaizah Arshad, Eng Hooi Tan, Paula Casajust, Thamir M. Alshammari, Talita Duarte-Salles, Evan P. Minty, Carlos Areia, Nicole Pratt, Patrick B. Ryan, George Hripcsak, Marc A. Suchard, Martijn J. Schuemie, Daniel Prieto-Alhambra
Format: article
Langue:EN
Publié: Frontiers Media S.A. 2021
Sujets:
incidence rate
vaccine safety
real world data
empirical - comparison
background rate
Therapeutics. Pharmacology
RM1-950
Accès en ligne:https://doaj.org/article/7abbd4f540e14f1282e22242e106df3b
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https://doaj.org/article/7abbd4f540e14f1282e22242e106df3b

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