tetano
Editor, Senior Moderator
Influenza Other Respir Viruses
. 2022 May 11.
doi: 10.1111/irv.12999. Online ahead of print.
Methods to account for measured and unmeasured confounders in influenza relative vaccine effectiveness studies: A brief review of the literature
Matthew M Loiacono[SUP] 1 [/SUP], Robertus Van Aalst[SUP] 2 3 4 [/SUP], Darya Pokutnaya[SUP] 5 [/SUP], Salaheddin M Mahmud[SUP] 6 [/SUP], Joshua Nealon[SUP] 7 8 [/SUP]
Affiliations
Abstract
Observational seasonal influenza relative vaccine effectiveness (rVE) studies employ a variety of statistical methods to account for confounding and biases. To better understand the range of methods employed and implications for policy, we conducted a brief literature review. Across 37 included rVE studies, 10 different types of statistical methods were identified, and only eight studies reported methods to detect residual confounding, highlighting the heterogeneous state of the literature. To improve the comparability and credibility of future rVE research, researchers should clearly explain methods and design choices and implement methods to detect and quantify residual confounding.
Keywords: comparative effectiveness research; confounding factors, epidemiologic; influenza vaccines; retrospective studies; review literature as topic.
. 2022 May 11.
doi: 10.1111/irv.12999. Online ahead of print.
Methods to account for measured and unmeasured confounders in influenza relative vaccine effectiveness studies: A brief review of the literature
Matthew M Loiacono[SUP] 1 [/SUP], Robertus Van Aalst[SUP] 2 3 4 [/SUP], Darya Pokutnaya[SUP] 5 [/SUP], Salaheddin M Mahmud[SUP] 6 [/SUP], Joshua Nealon[SUP] 7 8 [/SUP]
Affiliations
- PMID: 35545260
- DOI: 10.1111/irv.12999
Abstract
Observational seasonal influenza relative vaccine effectiveness (rVE) studies employ a variety of statistical methods to account for confounding and biases. To better understand the range of methods employed and implications for policy, we conducted a brief literature review. Across 37 included rVE studies, 10 different types of statistical methods were identified, and only eight studies reported methods to detect residual confounding, highlighting the heterogeneous state of the literature. To improve the comparability and credibility of future rVE research, researchers should clearly explain methods and design choices and implement methods to detect and quantify residual confounding.
Keywords: comparative effectiveness research; confounding factors, epidemiologic; influenza vaccines; retrospective studies; review literature as topic.