Nonlinear Z‐score modeling for improved detection of cognitive abnormality

Abstract

Conventional Z‐scores are generated by subtracting the mean and dividing by the standard deviation. More recent methods linearly correct for age, sex, and education, so that these “adjusted” Z‐scores better represent whether an individual's cognitive performance is abnormal. Extreme negative Z‐scores for individuals relative to this normative distribution are considered indicative of cognitive deficiency.

Document Details

Document Type
Pub Defense Publication
Publication Date
Dec 01, 2019
Source ID
10.1016/j.dadm.2019.08.003

Entities

People

  • Adam Boxer
  • Adam M. Staffaroni
  • Alexander Pantelyat
  • Amy Rindels
  • Ann Fishman
  • Anna Karydas
  • Artfl/lefftds Consortium
  • Arthur W. Toga
  • Behnaz Ghazanfari
  • Bonnie Wong
  • Brad Boeve
  • Bradford Dickerson
  • Brian Appleby
  • Bruce Miller
  • Carmela Tartaglia
  • Chiadi Onyike
  • Christina Caso
  • Christina Dheel
  • Codrin Lungu
  • Dana Haley
  • Daniel Kaufer
  • Danielle Brushaber
  • David Irwin
  • David Knopman
  • David R Jones
  • Deb Gearhart
  • Diana Kerwin
  • Diane Lucente
  • Edward D. Huey
  • Eliana Marisa Ramos
  • Emily Mckinley
  • Emily Rogalski‐miller
  • Erik D. Roberson
  • Giovanni Coppola
  • Hilary W. Heuer
  • Hiroko Dodge
  • Howard Rosen
  • Ian M. Grant
  • Ian Mackenzie
  • Irene Litvan
  • Jamie Fong
  • Jaya Padmanabhan
  • Jeremy Syrjanen
  • Jessica Bove
  • Jessica Ferrall
  • Jill Goldman
  • Joanne Taylor
  • Joel Kramer
  • John Hsiao
  • John Kornak
  • John Q. Trojanowski
  • Jonathan Graff‐radford
  • Julie Fields
  • Katherine Rankin
  • Katya Rascovsky
  • Kejal Kantarci
  • Kelley Faber
  • Kimiko Domoto‐reilly
  • Leah Forsberg
  • Len Petrucelli
  • Les Shaw
  • Lilah Besser
  • Lynne Jones
  • Madeline Potter
  • Margaret Sutherland
  • Maria Lapid
  • Mario Mendez
  • Masood Manoochehri
  • Miranda Maldonado
  • Murray Grossman
  • Nadine Tatton
  • Namita Multani
  • Neill Graff‐radford
  • Nupur Ghoshal
  • Patrick Brannelly
  • Peter Ljubenkov
  • Pheth Sengdy
  • Ping Wang
  • Ralitza Gavrilova
  • Reilly Dever
  • Robin Hsiung
  • Rodney Pearlman
  • Rosa Rademakers
  • Ruth Kraft
  • Sandra Weintraub
  • Sara Farmer
  • Scott Mcginnis
  • Sophia Dominguez
  • Susan Dickinson
  • Tatiana Foroud
  • Walter Kremers
  • Walter Kukull
  • Yvette Bordelon
  • Zbigniew K Wszolek

Organizations

  • Association for Frontotemporal Degeneration
  • Case Western Reserve University
  • Columbia University
  • Florida Atlantic University
  • Harvard University
  • Indiana University
  • Johns Hopkins University
  • Mayo Clinic
  • National Institute of Neurological Disorders and Stroke
  • National Institute on Aging
  • Northwestern University
  • Oregon Health & Science University
  • University of Alabama at Birmingham
  • University of British Columbia
  • University of California, Los Angeles
  • University of California, San Diego
  • University of California, San Francisco
  • University of Michigan
  • University of North Carolina
  • University of Pennsylvania
  • University of Southern California
  • University of Texas Southwestern Medical Center
  • University of Toronto
  • University of Washington
  • Washington University in St. Louis

Tags

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Organizational Psychology.
  • Systems Analysis and Design