Within- and Between-Individual Compliance in Mobile Health: Joint Modeling Approach to Nonrandom Missingness in an Intensive Longitudinal Observational Study
We recommend joint modeling with multilevel decomposition for addressing nonignorable missingness in mHealth/uHealth studies collecting intensive longitudinal data. We also suggest using a missing data model to explore the missingness mechanism and inform data collection strategies.
Authors
- Vernon M. Chinchilli (ORCID: https://orcid.org/0000-0001-6488-7809)
- Young Won Cho (ORCID: https://orcid.org/0000-0002-5741-9246)
- Shirlene Wang (ORCID: https://orcid.org/0000-0002-9132-4427)
- Jixin Li (ORCID: https://orcid.org/0000-0002-5581-0065)
- Linying Ji (ORCID: https://orcid.org/0000-0003-1908-3718)
- Genevieve F. Dunton (ORCID: https://orcid.org/0000-0002-4129-3829)
- STEPHEN S. INTILLE (ORCID: https://orcid.org/0000-0002-0287-2553)
- Sy‐Miin Chow (ORCID: https://orcid.org/0000-0003-1938-027X)
- Weilin Wang (ORCID: https://orcid.org/0000-0002-5617-4320)
Institutions
- Northwestern University (US)
- University of Southern California (US)
- Northeastern University (US)
- Pennsylvania State University (US)
- Montana State University (US)
- Penn State Milton S. Hershey Medical Center (US)
Publication Details
- Journal
- JMIR mhealth and uhealth
- Published
- 2025-07-16
- DOI
- https://doi.org/10.2196/65350
- Primary Topic
- Behavioral Health and Interventions
- Type
- article
- Field-Weighted Citation Impact
- 0.00