Prediction of Conversion to Alzheimer’s Disease with Longitudinal Measures and Time-To-Event Data

Abstract

Prediction of AD conversion can be improved by incorporating longitudinal change information, in addition to baseline characteristics. Cognitive measures are consistently significant and generally stronger predictors than imaging measures.