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A Causal Perspective on "Appropriate Implementation of ICH E9(R1) Addendum Strategies" (Comment on Fleming et al.)
Tim P Morris1, Alex Ocampo2, Jesper Madsen3
1Statistical Methodology, Novartis Pharmaceuticals UK Ltd., London, UK.
This commentary proposes a robust pathway for rigorous causal inference, emphasizing clinical and statistical reasoning for meaningful estimands. It introduces a tangibility criterion for intercurrent event strategies and advocates for balancing estimand relevance with necessary assumptions.
Area of Science:
- Biostatistics
- Clinical Epidemiology
- Causal Inference
Background:
- Fleming et al. recently shared opinions on delivering "rigorous causal inference on meaningful estimands."
- This commentary presents differing perspectives on this topic.
Purpose of the Study:
- To offer alternative perspectives on achieving rigorous causal inference for meaningful estimands.
- To propose a more robust pathway incorporating clinical, causal, and statistical reasoning.
- To introduce criteria for evaluating the practical utility of intercurrent event strategies.
Main Methods:
- Depicting a robust pathway for causal inference.
- Suggesting a tangibility criterion for intercurrent event strategies.
- Illustrating the utility of causal inference methods with hypothetical strategies.
Main Results:
- A more robust pathway for rigorous causal inference is presented.
- A tangibility criterion is proposed to assess the practical usefulness of intercurrent event strategies.
- Causal inference methods demonstrate utility in providing robust estimates when aligned with clinical objectives.
Conclusions:
- Advocating for a balanced approach considering the trade-offs between an estimand's relevance and required assumptions.
- Highlighting the importance of integrating clinical, causal, and statistical reasoning for robust causal inference.
- Emphasizing the practical utility of causal inference in clinical research when applied appropriately.
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