Marginal modeling in community randomized trials with rare events: Utilization of the negative binomial regression model.

ABSTRACT:

Background/aims

This work is motivated by the HEALing Communities Study, which is a post-test only cluster randomized trial in which communities are randomized to two different trial arms. The primary interest is in reducing opioid overdose fatalities, which will be collected as a count outcome at the community level. Communities range in size from thousands to over one million residents, and fatalities are expected to be rare. Traditional marginal modeling approaches in the cluster randomized trial literature include the use of generalized estimating equations with an exchangeable correlation structure when utilizing subject-level data, or analogously quasi-likelihood based on an over-dispersed binomial variance when utilizing community-level data. These approaches account for and

SUBMITTER: Westgate PM 

PROVIDER: S-EPMC9038610 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature