Instrumental Variable methods to target Hypothetical Estimands with longitudinal repeated measures data: Application to the STEP 1 trial
Jack Bowden, Jesper Madsen, Bryan Goldman, Aske Thorn Iversen, Xiaoran, Liang, Stijn Vansteelandt

TL;DR
This paper introduces an Instrumental Variable method leveraging longitudinal data to estimate hypothetical treatment effects under perfect adherence, demonstrated through application to the STEP 1 trial on semaglutide.
Contribution
It proposes a novel IV approach that utilizes repeated measures to estimate hypothetical estimands, addressing limitations of existing methods and allowing for time-varying adherence effects.
Findings
Semaglutide leads to sustained weight loss with slow decay.
The IV method provides valid estimates even with guaranteed non-adherence.
Application suggests a consistent treatment effect over time.
Abstract
The STEP 1 randomized trial evaluated the effect of taking semaglutide vs placebo on body weight over a 68 week duration. As with any study evaluating an intervention delivered over a sustained period, non-adherence was observed. This was addressed in the original trial analysis within the Estimand Framework by viewing non-adherence as an intercurrent event. The primary analysis applied a treatment policy strategy which viewed it as an aspect of the treatment regimen, and thus made no adjustment for its presence. A supplementary analysis used a hypothetical strategy, targeting an estimand that would have been realised had all participants adhered, under the assumption that no post-baseline variables confounded adherence and change in body weight. In this paper we propose an alternative Instrumental Variable method to adjust for non-adherence which does not rely on the same…
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Taxonomy
TopicsHealth Systems, Economic Evaluations, Quality of Life
