EconPapers    
Economics at your fingertips  
 

Mediation analyses for the effect of antibodies in vaccination

Fay Michael P. () and Follmann Dean A.
Additional contact information
Fay Michael P.: Biostatistics Research Branch, National Institute of Allergy and Infectious Diseases, Rockville, Maryland, United States of America
Follmann Dean A.: Biostatistics Research Branch, National Institute of Allergy and Infectious Diseases, Rockville, Maryland, United States of America

Journal of Causal Inference, 2024, vol. 12, issue 1, 19

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 the 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 λ \lambda , 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 λ \lambda and show that there are two versions of λ \lambda , unless the effect of adding antibodies to the placebo arm is equal in magnitude to the effect of subtracting antibodies from the vaccine arm. We focus on the case when individuals in the placebo arm are unlikely to have the needed antibodies. In that case, if a standard assumption (given confounders the potential mediators and potential outcomes are independent) is true, only one version of λ \lambda is identifiable, and if not neither is identifiable. We propose alternatives for identifying the other version of λ \lambda , using experimental design to identify a formerly cross-world quantity. Two alternative experimental designs use a three-arm trial with the extra arm being passive immunization (administering monoclonal antibodies), with or without closeout vaccination. Another alternative is to combine information from a placebo-controlled vaccine trial with a placebo-controlled passive immunization trial.

Keywords: controlled vaccine efficacy; correlates of protection; identifiability; indirect effect; mediation assumptions; sequential ignorability (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1515/jci-2022-0043 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bpj:causin:v:12:y:2024:i:1:p:19:n:1

DOI: 10.1515/jci-2022-0043

Access Statistics for this article

Journal of Causal Inference is currently edited by Elias Bareinboim, Jin Tian and Iván Díaz

More articles in Journal of Causal Inference from De Gruyter
Bibliographic data for series maintained by Peter Golla ().

 
Page updated 2025-03-19
Handle: RePEc:bpj:causin:v:12:y:2024:i:1:p:19:n:1