Beyond smartphones and sensors: choosing appropriate statistical methods for the analysis of longitudinal data.

ABSTRACT:

Objectives

As smartphones and sensors become more prominently used in mobile health, the methods used to analyze the resulting data must also be carefully considered. The advantages of smartphone-based studies, including large quantities of temporally dense longitudinally captured data, must be matched with the appropriate statistical methods in order draw valid conclusions. In this paper, we review and provide recommendations in 3 critical domains of analysis for these types of temporally dense longitudinal data and highlight how misleading results can arise from improper use of these methods.

Target audience

Clinicians, biostatisticians, and data analysts who have digital phenotyping data or are interested in performing a digital phenotyping study or any other type of long

SUBMITTER: Barnett I 

PROVIDER: S-EPMC6658863 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature