Xu Shi PhD, Assistant Professor in the Department of Biostatistics at the University of Michigan will be giving a presentation on “Double Negative Control Inference in Test-Negative Design Studies of Vaccine Effectiveness.” Joint work with Qijun (Kendrick) Li, Wang Miao, and Eric Tchetgen Tchetgen. This presentation is entirely virtual, and will occur on July 23, 2024, 10:00am - 11:00am via Zoom. Registration is required, and upon registration, attendees will received a confirmation email ith information about joining the meeting.

ABSTRACT: The test-negative design (TND) has become a standard approach to evaluate vaccine effectiveness. Although TND can reduce unobserved differences in healthcare-seeking behavior between vaccinated and unvaccinated individuals, it remains subject to various potential biases, including unmeasured confounding bias, selection bias, and lack of generalizability. In this talk, we present a novel approach to estimate vaccine effectiveness in the general population by carefully leveraging a pair of negative control exposure and outcome variables to account for potential hidden biases in TND studies. We illustrate our proposed method with extensive simulation and an application to COVID-19 vaccine effectiveness using data from the University of Michigan Health System.