Analysis of cluster-randomized test-negative designs: cluster-level methods.

ABSTRACT: Intervention trials of vector control methods often require community level randomization with appropriate inferential methods. For many interventions, the possibility of confounding due to the effects of health-care seeking behavior on disease ascertainment remains a concern. The test-negative design, a variant of the case-control method, was introduced to mitigate this issue in the assessment of the efficacy of influenza vaccination (measured at an individual level) on influenza infection. Here, we introduce a cluster-randomized test-negative design that includes randomization of the intervention at a group level. We propose several methods for estimation and inference regarding the relative risk (RR). The inferential methods considered are based on the randomization distribution induced

SUBMITTER: Jewell NP 

PROVIDER: S-EPMC7967700 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature