Estimating Relative Risk When Observing Zero Events-Frequentist Inference and Bayesian Credibility Intervals.

ABSTRACT: Relative risk (RR) is a preferred measure for investigating associations in clinical and epidemiological studies with dichotomous outcomes. However, if the outcome of interest is rare, it frequently occurs that no events are observed in one of the comparison groups. In this case, many of the standard methods used to obtain confidence intervals (CIs) for the RRs are not feasible, even in studies with strong statistical evidence of an association. Different strategies for solving this challenge have been suggested in the literature. This paper, which uses both mathematical arguments and statistical simulations, aims to present, compare, and discuss the different statistical approaches to obtain CIs for RRs in the case of no events in one of the comparison groups. Moreover, we compare these f

SUBMITTER: Moller S 

PROVIDER: S-EPMC8196730 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature