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Activity Number: 249 - Making Impact for the Public Health: Innovative Methods and Challenges in Large NIH Studies
Type: Invited
Date/Time: Tuesday, August 4, 2020 : 1:00 PM to 2:50 PM
Sponsor: ENAR
Abstract #309208
Title: Statistical Challenges in Infectious Diseases
Author(s): Dean Follmann*
Companies: NIAID
Keywords: Marked Point Process; Measurement Error; Survival Analysis; Immunology

Infectious diseases are fascinating and provide rich opportunities for statistical innovation. An important issue in malaria vaccine development is to assess how vaccine efficacy varies with genetically different infecting parasites. We discuss methods to estimate such heterogeneity based on the time to infection and the counts of the clonally identical parasites, also known as a marked point process. Using the counts leads to more efficient methods than simpler competing risks formulations. For Ebola vaccines, quantifying the strength of the vaccine-induced immunity that results in protection has been elusive as field trials done in outbreak settings have been unable to measure relevant immunity just after vaccination. We discuss a method where a stable immune response to an irrelevant part of the vaccine is measured in vaccinated Ebola cases and non-Ebola controls that visit a health clinic. This measured immune response is then used to impute a relevant immune response as a covariate in logistic regression. Standard methods for measurement error and multiple nuisance parameters are then applied to estimate the level of antibody needed for protection.

Authors who are presenting talks have a * after their name.

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