The Fred Hutch Biostatistics Program hosts seminars featuring presentations by Fred Hutch and outside scientists to share their latest developments and recent research. Each seminar includes an hour-long presentation and discussion during which speakers showcase their work and findings.
This seminar will be in-person.
Please contact email@example.com if this is not practical and you would like a Zoom link.
Determining the effect of vaccine induced immune responses on disease risk is an important goal of vaccinology. Typically, immune correlates are done prospectively where a cohort is sampled shortly after vaccination and subsequent cases and a subset of non-cases have ‘peak’ immune responses measured from the stored samples. A complementary approach models risk of disease as a function of the time-varying immune response throughout follow-up. In outbreak settings, or trials with very large cohorts, prospective sampling may be impossible or burdensome. An efficient retrospective design samples vaccinees who present with symptoms, draws blood, and tests for the disease of interest. Logistic regression can be used to correlate the measured immune response with a positive test for the disease of interest. In this talk we formally develop this `test negative’ immune correlates design and discuss ongoing work involving Covid-19 and Ebola vaccines.