Mixed-Response State-Space Model for Analyzing Multi-Dimensional Digital Phenotypes

Xu, T., Chen, Y., Zeng, D., & Wang, Y. (2023). Mixed-Response State-Space Model for Analyzing Multi-Dimensional Digital Phenotypes. Journal of the American Statistical Association, 118(544), 2288–2300. https://doi.org/10.1080/01621459.2023.2225742

Authors:

Tianchen Xu

Yuan Chen

Donglin Zeng

Yuanjia Wang

Affiliated Authors:

Tianchen Xu

Yuanjia Wang

Columbia Affiliation:

Mailman School of Public Health
- Department of Biostatistics

Author Keywords:

parkinson’s disease

heterogeneous treatment effects

latent state-space model

mhealth

observational studies

time series

elink

Publication Type:

Article

Unique ID:

10.1080/01621459.2023.2225742

PMID:

38404670

DOI:

10.1080/01621459.2023.2225742

Journal:

Journal of the American Statistical Association

Publication Date:

2024-07-21

Data Source:

PubMed

Source Link:

View PubMed Record

Record Created:

Friday, August 16, 2024 - 12:56