Nonlinear Z‐score modeling for improved detection of cognitive abnormality

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

Publikováno v: Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, Vol 11, Iss 1, Pp 797-808 (2019)

Abstract Introduction 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 whe

Externí odkaz: https://doaj.org/article/a6622d356e19452690bcb069ec439d27

Assessing the feasibility of a web‐based outcome measurement system in child and adolescent mental health services – myHealthE a randomised controlled feasibility pilot study

Autor: Anna C. Morris, Zina Ibrahim, Margaret Heslin, Omer S. Moghraby, Argyris Stringaris, Ian M. Grant, Lukasz Zalewski, Megan Pritchard, Robert Stewart, Matthew Hotopf, Andrew Pickles, Richard J. B. Dobson, Emily Simonoff, Johnny Downs

Publikováno v: Child and Adolescent Mental Health. 28(1):128-147

Interest in internet-based patient reported outcome measure (PROM) collection is increasing. The NHS myHealthE (MHE) web-based monitoring system was developed to address the limitations of paper-based PROM completion. MHE provides a simple and secure

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c43f5d2010889c6c07713dda69149410