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Methods to Adjust for Confounding in Test-Negative Design COVID-19 Effectiveness Studies: Simulation Study

Methods to Adjust for Confounding in Test-Negative Design COVID-19 Effectiveness Studies: Simulation Study

For this reason, when analyzing these subsets, we consider a DRS built from the full dataset but applied to a smaller subset and a DRS built specifically from that smaller subset. c VE: vaccine effectiveness. d IC: patients with immunocompromising conditions. e≥50: patients aged 50 years or older. To evaluate performance, we examined bias, SE, the ratio of mean SE to empirical SE, and coverage.

Elizabeth AK Rowley, Patrick K Mitchell, Duck-Hye Yang, Ned Lewis, Brian E Dixon, Gabriela Vazquez-Benitez, William F Fadel, Inih J Essien, Allison L Naleway, Edward Stenehjem, Toan C Ong, Manjusha Gaglani, Karthik Natarajan, Peter Embi, Ryan E Wiegand, Ruth Link-Gelles, Mark W Tenforde, Bruce Fireman

JMIR Form Res 2025;9:e58981