Alzheimer's disease progression and risk factors: A standardized comparison between six large data sets.
Stephanie Evans, Kevin McRae-McKee, Christoforos Hadjichrysanthou, Mei Mei Wong, David Ames, Oscar Lopez, Frank de Wolf, Roy M Anderson, undefined Australian Imaging Biomarkers and Lifestyle flagship study of ageing, undefined Predictors of Cognitive Decline Among Normal Individuals (BIOCARD) study, undefined Add Neuro Med Consortium
Alzheimers Dement (N Y) | Published : 2019
There exist a large number of cohort studies that have been used to identify genetic and biological risk factors for developing Alzheimer's disease (AD). However, there is a disagreement between studies as to how strongly these risk factors affect the rate of progression through diagnostic groups toward AD. We have calculated the probability of transitioning through diagnostic groups in six studies and considered how uncertainty around the strength of the effect of these risk factors affects estimates of the distribution of individuals in each diagnostic group in an AD clinical trial simulator. In this work, we identify the optimal choice of widely collected variables for comparing data sets..View full abstract
Awarded by NIA NIH HHS
Awarded by NHLBI NIH HHS
Awarded by Medical Research Council