Inference in group sequential designs with causal mechanisms: implications for power and mediation analysis
Mediation analysis needs additional consideration in group sequential designs. As with fixed trial designs, the sample size calculation of group sequential designs should account for the total variability underlying a causal mechanism when the treatment effect is hypothesized to be mediated by an intermediate variable, or risk the overall power to detect an intention-to-treat (total) effect being lower than the nominal value. We suggest reporting several estimators and acknowledging that they may be biased for some mediation pathways. More research is needed to develop methods for the analysis of indirect effect under group sequential designs.
Authors
- Richard Emsley (ORCID: https://orcid.org/0000-0002-1218-675X)
- Kim May Lee (ORCID: https://orcid.org/0000-0002-0553-973X)
Institutions
- King's College London (GB)
Publication Details
- Journal
- BMC Medical Research Methodology
- Published
- 2025-11-14
- DOI
- https://doi.org/10.1186/s12874-025-02714-y
- Primary Topic
- Advanced Causal Inference Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- South London and Maudsley NHS Foundation Trust
- National Institute for Health and Care Research
- Department of Health and Social Care
- King's College London