Selected Publications
- Yang, Q., Jiang, M., Li, C., Luo, S., Crowley, M. J., & Shaw, R.
J. (2024). Predicting health outcomes with intensive longitudinal data
collected by mobile health devices: a functional principal component
regression approach. BMC Medical Research Methodology, 24(1), 1-10 DOI:
https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-024-02193-7
- Yang Q, Zhao A, Lee C, Wang X, Vorderstrasse A, Wolever RQ. Latent
Profile/Class Analysis Identifying Differentiated Intervention Effects.
Nurs Res. 2022 Apr 13; doi:10.1097/NNR.0000000000000597.
PMID: 35417442.
- Yang, Q., Hatch, D., Crowley, M. J., Lewinski, A. A., Vaughn, J.,
Steinberg, D., … Shaw, R. J. (2020). Digital Phenotyping Self-Monitoring
Behaviors for Individuals With Type 2 Diabetes Mellitus: Observational
Study Using Latent Class Growth Analysis. JMIR Mhealth Uhealth, 8(6),
e17730. https://doi.org/10.2196/17730 PMID: 32525492. PMCID:
PMC7317630.
- Yang, Q., Fung, W, & Li, G. (2018) Sample Size Determination for
Jointly Testing A Cause-Specific Hazard and the Overall Hazard in the
Presence of Competing Risks. Statistics in Medicine. PMID: 29282764,
PMCID: PMC6148356 DOI: 10.1002/sim.7590
- An, X., Yang, Q., & Bentler, P. M. (2013). A latent factor
linear mixed model for high-dimensional longitudinal data analysis.
Statistics in Medicine, 32(24), 4229–4239. https://doi.org/10.1002/sim.5825 PMID: 23640746. PMCID:
PMC3788857.
- Li, G., & Yang, Q. (2016). Joint Inference for Competing Risks
Survival Data. Journal of the American Statistical Association,
111(515), 1289–1300. https://doi.org/10.1080/01621459.2015.1093942 PMID:
31745375. PMCID: PMC6863485.
- Yang, Q., An, X., & Pan, W. (2019). Computing and graphing
probability values of Pearson distributions: a SAS/IML macro. Source
Code for Biology and Medicine, 14, 6. https://doi.org/10.1186/s13029-019-0076-2 PMID:
31889995. PMCID: PMC6923921.
- Shaw, R. J., Barnes, A., Steinberg, D., Vaughn, J., Diane, A.,
Levine, E., … Yang, Q. (2019). Enhancing Diabetes Self-Management
Through Collection and Visualization of Data From Multiple Mobile Health
Technologies: Protocol for a Development and Feasibility Trial. JMIR Res
Protoc, 8(6), e13517. https://doi.org/10.2196/13517 PMID: 31162127. PMCID:
PMC6746071.
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