Mediation Analyses for the Effect of Antibodies in Vaccination
Michael P. Fay, Dean A. Follmann

TL;DR
This paper reviews mediation analysis assumptions in vaccine trials, proposes new study designs to identify antibody effects, and discusses conditions under which these effects can be accurately estimated.
Contribution
It introduces novel experimental designs, including three-arm trials and combined data approaches, to identify previously unmeasurable antibody-mediated effects.
Findings
Identification of two versions of the effect proportion, λ.
Conditions under which λ is identifiable or not.
Proposed experimental designs to estimate cross-world quantities.
Abstract
We review standard mediation assumptions as they apply to identifying antibody effects in a randomized vaccine trial and propose new study designs to allow identification of an estimand that was previously unidentifiable. For these mediation analyses, we partition the total ratio effect (one minus the vaccine effect) from a randomized vaccine trial into indirect (effects through antibodies) and direct effects (other effects). Identifying , the proportion of the total effect due to an indirect effect, depends on a cross-world quantity, the potential outcome among vaccinated individuals with antibody levels as if given placebo, or vice versa. We review assumptions for identifying and show that there are two versions of , unless the effect of adding antibodies to the placebo arm is equal in magnitude to the effect of subtracting antibodies from the vaccine arm.…
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Taxonomy
TopicsStatistical Methods in Clinical Trials · Biosimilars and Bioanalytical Methods · Vaccine Coverage and Hesitancy
