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Predicting cognitive decline: Which is more useful, baseline amyloid levels or longitudinal change?
Gengsheng Chen, Nicole S. McKay, Brian A. Gordon, Jingxia Liu, Nelly Joseph-Mathurin, Suzanne E. Schindler, Jason Hassenstab, Andrew J. Aschenbrenner, Qing Wang, Stephanie A. Schultz, Yi Su, Pamela J. LaMontagne, Sarah J. Keefe, Parinaz Massoumzadeh, Carlos Cruchaga, Chengjie Xiong, John C. Morris, Tammie L.S. Benzinger
- Neuroimaging Labs Research Center
- Institute of Clinical and Translational Sciences (ICTS)
- Roy and Diana Vagelos Division of Biology & Biomedical Sciences (DBBS)
- DBBS - Biomedical Informatics and Data Science
- DBBS - Neurosciences
- Hope Center for Neurological Disorders
- Siteman Cancer Center
- DBBS - Human and Statistical Genetics
- DBBS - Molecular Genetics and Genomics
- McDonnell Genome Institute (MGI)
- Bursky Center for Human Immunology & Immunotherapy Programs (CHiiPs)
- NeuroGenomics and Informatics Center
- COVID-19 Researchers
- Institute for Informatics, Data Science and Biostatistics (I2DB)
- Institute for Public Health
- Center for Biostatistics and Data Science (CBDS)
- Department of Neurology
- Section of Neuroradiology
- Division of Basic Science Research
- Section of Aging & Dementia
- Brain Tumor Center
Research output: Contribution to journal › Article › peer-review