Inverse probability weighted estimation of dynamic treatment regimen means in sequential multiple assignment randomised trials with missing data: a simulation study
We found that for a prototypical SMART design, MI generally showed close to zero bias and slightly lower standard errors compared to CCA when IPW was used to estimate the mean outcomes of DTRs in the settings explored.
Authors
- Robert K. Mahar (ORCID: https://orcid.org/0000-0002-3643-923X)
- Jessica Xu (ORCID: https://orcid.org/0000-0002-4697-1625)
- Anurika De Silva (ORCID: https://orcid.org/0000-0003-0541-3202)
- Katherine J. Lee
- Julie A. Simpson
Institutions
- The University of Melbourne (AU)
- University of Oxford (GB)
- Murdoch Children's Research Institute (AU)
- Melbourne Health (AU)
Publication Details
- Journal
- Trials
- Published
- 2026-01-30
- DOI
- https://doi.org/10.1186/s13063-026-09493-x
- Citations
- 1
- Primary Topic
- Advanced Causal Inference Techniques
- Type
- article
- Field-Weighted Citation Impact
- 41.27