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19th Armitage Workshop and Lecture

September 29, 2022 @ 10:00 am - 5:30 pm

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We are delighted to be organising our 19th Armitage Workshop & Lecture on the theme ‘Meeting the challenges of COVID-19 through statistics’.

Our Armitage Lecturer will be Professor Nicholas Jewell from the London School of Hygiene & Tropical Medicine, speaking on:

“Biostatistics in Infectious Disease Research: Test-negative designs from Influenza, Dengue and Ebola to COVID-19 “

Test-negative designs are a relatively recent addition to observational study toolboxes, originally employed for assessment of seasonal influenza vaccination programs. I will review the rationale and development of the original test-negative design and discuss extensions to cover randomized exposures, various kinds of clustering and mixed testing programs, with illustrations from both dengue fever and Ebola virus disease. Recent interest has focused on uses of the test-negative design to estimate and compare effectiveness of COVID-19 vaccines. The presentation will highlight statistical issues associated with the design, analysis, and interpretation of resulting data, with suggestions for further research. The lecture will touch on statistical issues associated with causal inference, cluster randomised trials, retrospective studies, spatial statistics, and randomisation inference.

The keynote lecture is the highlight of a full day workshop, with talks from members of the MRC Biostatistics Unit who have been at the fore of the response to COVID-19. 

Please note, the Workshop and Lecture will run as a hybrid event with the option to attend either in-person or virtually. When registering, please select either the in-person ticket or the virtual ticket – both are free.

To register for free, please click here: 19th Armitage Workshop and Lecture Tickets, Thu 29 Sep 2022 at 10:00 | Eventbrite


September 29, 2022
10:00 am - 5:30 pm
Event Categories:


MRC Biostatistics Unit


CRUK Cambridge Institute
Li Ka Shing Centre, Robinson Way
Cambridge, CB2 0RE United Kingdom
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