Unknown

Dataset Information

Choosing the right time granularity for analysis of digital biomarker trajectories.


ABSTRACT:

Introduction

The use of digital biomarker data in dementia research provides the opportunity for frequent cognitive and functional assessments that was not previously available using conventional approaches. Assessing high-frequency digital biomarker data can potentially increase the opportunities for early detection of cognitive and functional decline because of improved precision of person-specific trajectories. However, we often face a decision to condense time-stamped data into a coarser time granularity, defined as the frequency at which measurements are observed or summarized, for statistical analyses. It is important to find a balance between ease of analysis by condensing data and the integrity of the data, which is reflected in a chosen time granularity.

Methods

In

SUBMITTER: Wakim NI 

PROVIDER: S-EPMC7748028 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature