Risk Ratio and Risk Difference Estimation in Case-cohort Studies.

ABSTRACT:

Background

In case-cohort studies with binary outcomes, ordinary logistic regression analyses have been widely used because of their computational simplicity. However, the resultant odds ratio estimates cannot be interpreted as relative risk measures unless the event rate is low. The risk ratio and risk difference are more favorable outcome measures that are directly interpreted as effect measures without the rare disease assumption.

Methods

We provide pseudo-Poisson and pseudo-normal linear regression methods for estimating risk ratios and risk differences in analyses of case-cohort studies. These multivariate regression models are fitted by weighting the inverses of sampling probabilities. Also, the precisions of the risk ratio and risk difference estimators can be improve

SUBMITTER: Noma H 

PROVIDER: S-EPMC10483099 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature