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Review
. 2022 Dec;112(6):1183-1190.
doi: 10.1002/cpt.2575. Epub 2022 Mar 29.

Estimands and Complex Innovative Designs

Affiliations
Review

Estimands and Complex Innovative Designs

Olivier Collignon et al. Clin Pharmacol Ther. 2022 Dec.

Abstract

Since the release of the ICH E9(R1) (International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use Addendum on Estimands and Sensitivity Analysis in Clinical Trials to the Guideline on Statistical Principles for Clinical Trials) document in 2019, the estimand framework has become a fundamental part of clinical trial protocols. In parallel, complex innovative designs have gained increased popularity in drug development, in particular in early development phases or in difficult experimental situations. While the estimand framework is relevant to any study in which a treatment effect is estimated, experience is lacking as regards its application to these designs. In a basket trial for example, should a different estimand be specified for each subpopulation of interest, defined, for example, by cancer site? Or can a single estimand focusing on the general population (defined, for example, by the positivity to a certain biomarker) be used? In the case of platform trials, should a different estimand be proposed for each drug investigated? In this work we discuss possible ways of implementing the estimand framework for different types of complex innovative designs. We consider trials that allow adding or selecting experimental treatment arms, modifying the control arm or the standard of care, and selecting or pooling populations. We also address the potentially data-driven, adaptive selection of estimands in an ongoing trial and disentangle certain statistical issues that pertain to estimation rather than to estimands, such as the borrowing of nonconcurrent information. We hope this discussion will facilitate the implementation of the estimand framework and its description in the study protocol when the objectives of the trial require complex innovative designs.

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Conflict of interest statement

C.‐F.B. is an employee of and shareholder of AstraZeneca. O.C. is an employee of and shareholder of GSK. F.B. is an employee of and shareholder of Novartis. K.R. is an employee of and shareholder of Roche. All other authors declared no competing interests for this work.

Figures

Figure 1
Figure 1
Estimand thinking process to be implemented at the design stage (adapted from ref. 54).
Figure 2
Figure 2
Control and two experimental arms without (left) and with (right) change of control arm. C, control; E, experimental.

References

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