Discussion on “INTACT: A method for integration of longitudinal physical activity data from multiple sources” by Jingru Zhang, Erjia Cui, Hongzhe Li, and Haochang Shou

Biometrics 2026

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Authors: Haotian Lin, Matthew L. Reimherr
DOI: 10.1093/biomtc/ujag113
Cited by: 1
References: 6

Abstract

This discussion provides commentary on the paper "INTACT: A method for integration of longitudinal physical activity data from multiple sources" by Jingru Zhang, Erjia Cui, Hongzhe Li, and Haochang Shou. The authors introduce an FPCA-based approach for integrating information from multiple sources with longitudinal measurements. We focus on the paper's covariance-eigensystem assumptions and discuss how covariance alignment facilitates knowledge integration and transfer in functional and longitudinal settings.

Fields of Study & Subjects

Physical Activity and Health Time Series Analysis and Forecasting Psychometric Methodologies and Testing

Publication details

Journal / source
Biometrics
Publisher
Oxford University Press (OUP)
Volume
82
Issue
2
Publication date
9 April 2026
Language
EN