Work

[P4–164]: DATA‐DRIVEN MODELS OF DISEASE PROGRESSION AND APPLICATIONS TO ALZHEIMER's DISEASE: EVENT‐BASED MODEL AND DIFFERENTIAL EQUATION MODELS OF BIOMARKER CHANGES IN ADNI

Year: 2017

Type: article

Abstract: improve statistical power.Conclusions: Harmonizing datasets from different sites is vital in increasing the power in detecting early onset of AD.Our framework estimates the transformation needed to match the two sites' distributions, and then assigns a p-value via a new hypothesis test.This procedure can be easily deployed in practice (open-source code).We show one setting where clinical thresholds for detecting disease groups defined on ADNI can be adapted to other datasets.

Source: Alzheimer s & Dementia

DOI: 10.1016/j.jalz.2017.06.2031

Authors: Neil P. Oxtoby, Alexandra L. Young, Razvan Valentin Marinescu, Daniel C. Alexander

Institution: University College London

Language: English

Topic: Dementia and Cognitive Impairment Research

Subfield: Psychiatry and Mental health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

OpenAlex ID: W2765108352

FWCI:

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