Principles for Defining Estimands in Clinical Trials—A Proposal

Author:

Mütze Tobias1ORCID,Bell James2ORCID,Englert Stefan3ORCID,Hougaard Philip4ORCID,Jackson Dan5ORCID,Lanius Vivian6ORCID,Ravn Henrik7ORCID

Affiliation:

1. Statistical Methodology Novartis Pharma AG Basel Switzerland

2. Clinical Operations Elderbrook Solutions GmbH Buckinghamshire UK

3. Statistical Modeling and Methodology Janssen‐Cilag GmbH, Johnson & Johnson Company Neuss Germany

4. Biostatistics and Data Science H. Lundbeck A/S Valby Denmark

5. Statistical Innovation AstraZeneca Cambridge UK

6. Clinical Statistics and Analytics Bayer AG Wuppertal Germany

7. Biostatistics Methods and Outreach Novo Nordisk A/S Søborg Denmark

Abstract

ABSTRACTThe ICH E9(R1) guideline outlines the estimand framework, which aligns planning, design, conduct, analysis, and interpretation of a clinical trial. The benefits and value of using this framework in clinical trials have been outlined in the literature, and guidance has been provided on how to choose the estimand and define the estimand attributes. Although progress has been made in the implementation of estimands in clinical trials, to the best of our knowledge, there is no published discussion on the basic principles that estimands in clinical trials should fulfill to be well defined and consistent with the ideas presented in the ICH E9(R1) guideline. Therefore, in this Viewpoint article, we propose four key principles for defining an estimand. These principles form a basis for well‐defined treatment effects that reflect the estimand thinking process. We hope that this Viewpoint will complement ICH E9(R1) and stimulate a discussion on which fundamental properties an estimand in a clinical trial should have and that such discussions will eventually lead to an improved clarity and precision for defining estimands in clinical trials.

Publisher

Wiley

Reference39 articles.

1. International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH) “Addendum on Estimands and Sensitivity Analysis in Clinical Trials to the Guideline on Statistical Principles for Clinical Trials E9(R1) ”2019 https://database.ich.org/sites/default/files/E9‐R1_Step4_Guideline_2019_1203.pdf.

2. ICH E9(R1) Expert Working Group “ICH E9(R1) Estimands and Sensitivity Analysis in Clinical Trials Training Slides ”2021 https://database.ich.org/sites/default/files/E9%28R1%29%20Training%20Material%20‐%20PDF_0.pdf.

3. Choosing Appropriate Estimands in Clinical Trials

4. Estimands in clinical trials - broadening the perspective

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