Impact of non‐linear SUVR transformations on the statistical power of tau‐PET longitudinal studies
Non-linear transformations of tau-PET SUVR data can modestly reduce the statistical power to detect treatment effects in clinical trials using tau-PET as an endpoint. Future work will assess the impact of non-linear transformations in other trial populations and study settings.
Authors
- Vincent Doré (ORCID: https://orcid.org/0000-0002-8051-0558)
- H. Kolb
- Alexandra Gogola (ORCID: https://orcid.org/0000-0002-8798-1715)
- Nadine Tatton (ORCID: https://orcid.org/0000-0001-9576-8837)
- Brian J. Lopresti
- Diane T. Stephenson (ORCID: https://orcid.org/0000-0002-4262-436X)
- Alexis Moscoso (ORCID: https://orcid.org/0000-0003-0170-036X)
- Yashmin Karten
- Gregory Klein
- Victor L. Villemagne
- Christopher C. Rowe
- Antoine Leuzy
- Philip S. Insel
- Fang Xie
Institutions
- Roche (Switzerland) (CH)
- Commonwealth Scientific and Industrial Research Organisation (AU)
- The University of Melbourne (AU)
- University of Pittsburgh (US)
- University of California, San Francisco (US)
- Fudan University (CN)
- Critical Path Institute (US)
- Instituto de Investigación Sanitaria de Santiago (ES)
- Huashan Hospital (CN)
- Austin Health (AU)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70861_108621
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00