Accounting for extent of non-compliance when estimating treatment effects on an ordinal outcome in randomized clinical trials.

ABSTRACT:

Background

In randomized clinical trials (RCTs) with non-compliance, evaluating the causal effects of interventions would lead to a more precise estimation of treatment effect when the estimand of interest is the effect of treatment amongst compliers. While there is a large body of literature addressing the issue of non-compliance for continuous, binary, and time-to-event outcomes, this issue is seldom discussed for ordinal outcomes.

Methods

In this paper, we consider one-sided non-compliance. We introduce an extension of the inverse probability weighting (IPW) method for handling non-compliance involving an ordinal outcome by fully utilizing the information of non-compliance and defining it as a categorical variable to describe the extent of non-compliance. This is in contr

SUBMITTER: Zhu J 

PROVIDER: S-EPMC11852586 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature