Methods for the estimation of direct and indirect vaccination effects by combining data from individual- and cluster-randomized trials.

ABSTRACT: Both individually and cluster randomized study designs have been used for vaccine trials to assess the effects of vaccine on reducing the risk of disease or infection. The choice between individually and cluster randomized designs is often driven by the target estimand of interest (eg, direct versus total), statistical power, and, importantly, logistic feasibility. To combat emerging infectious disease threats, especially when the number of events from one single trial may not be adequate to obtain vaccine effect estimates with a desired level of precision, it may be necessary to combine information across multiple trials. In this article, we propose a model formulation to estimate the direct, indirect, total, and overall vaccine effects combining data from trials with two types of study d

SUBMITTER: Wang R 

PROVIDER: S-EPMC11671029 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature