Rethinking the residual approach: leveraging statistical learning to operationalize cognitive resilience in Alzheimer’s disease

  • Colin Birkenbihl
  • , Madison Cuppels
  • , Rory T. Boyle
  • , Hannah M. Klinger
  • , Oliver Langford
  • , Gillian T. Coughlan
  • , Michael J. Properzi
  • , Jasmeer Chhatwal
  • , Julie C. Price
  • , Aaron P. Schultz
  • , Dorene M. Rentz
  • , Rebecca E. Amariglio
  • , Keith A. Johnson
  • , Rebecca F. Gottesman
  • , Shubhabrata Mukherjee
  • , Paul Maruff
  • , Yen Ying Lim
  • , Colin L. Masters
  • , Alexa Beiser
  • , Susan M. Resnick
    • Timothy M. Hughes, Samantha Burnham, Ilke Tunali, Susan Landau, Ann D. Cohen, Sterling C. Johnson, Tobey J. Betthauser, Sudha Seshadri, Samuel N. Lockhart, Sid E. O’Bryant, Prashanthi Vemuri, Reisa A. Sperling, Timothy J. Hohman, Michael C. Donohue, Rachel F. Buckley

Research output: Contribution to journal › Article › peer-review

Fingerprint

Dive into the research topics of 'Rethinking the residual approach: leveraging statistical learning to operationalize cognitive resilience in Alzheimer’s disease'. Together they form a unique fingerprint.

Mathematics

Engineering

Computer Science

Pharmacology, Toxicology and Pharmaceutical Science

Economics, Econometrics and Finance