The relative efficiency of time-to-progression and continuous measures of cognition in presymptomatic Alzheimer's disease.

ABSTRACT:

Introduction

Clinical trials on preclinical Alzheimer's disease are challenging because of the slow rate of disease progression. We use a simulation study to demonstrate that models of repeated cognitive assessments detect treatment effects more efficiently than models of time to progression.

Methods

Multivariate continuous data are simulated from a Bayesian joint mixed-effects model fit to data from the Alzheimer's Disease Neuroimaging Initiative. Simulated progression events are algorithmically derived from the continuous assessments using a random forest model fit to the same data.

Results

We find that power is approximately doubled with models of repeated continuous outcomes compared with the time-to-progression analysis. The simulations also demonstrate that a pl

SUBMITTER: Li D 

PROVIDER: S-EPMC6656701 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature