Using NonTargeted HPV Infections in Studies with Risk Compensation
Lola Etievant

TL;DR
This paper examines the use of non-targeted HPV infections to reduce confounding bias in observational vaccine efficacy studies, clarifying the causal interpretation and public health implications of such estimates.
Contribution
It extends previous methods by considering unmeasured behavioral confounders and mediators, providing a clearer understanding of what the estimates represent.
Findings
Using non-targeted HPV infections can remove confounding bias.
The estimated effect can be interpreted as the direct immunological effect.
Public health interpretation may be misleading under risk compensation.
Abstract
Studies of HPV vaccine efficacy usually record infections with vaccine targeted and nontargeted strains. Contrary to blinded randomized controlled trials, confounding bias can be a threat and risk compensation may occur in observational studies. Etievant et al. (Biometrics, 2023) proposed to use cervical infections with nontargeted HPV strains to reduce or remove confounding bias of estimates of vaccine efficacy on targeted strains. However, they assumed that vaccinated women could not change their behavior after vaccination. We consider a more plausible setting where unmeasured sexual behavior acts as both a confounder and a mediator, and investigate if the quantity estimated in practice with their method has a clear causal meaning. We demonstrate that using nontargeted HPV infections can remove both confounding bias and the portion of the vaccine effect on the targeted HPV strains…
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