Qing Yang

Qing Yang

Associate Research Professor

Publications

Selected Publications

  1. 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. doi
  2. Li, G., & Yang, Q. (2016). Joint Inference for Competing Risks Survival Data. Journal of the American Statistical Association, 111(515), 1289–1300. doi
  3. 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. doi
  4. 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. doi
  5. 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. doi
  6. 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. doi
  7. Yang, Q., Zhao, A., Lee, C., Wang, X., Vorderstrasse, A., & Wolever, R. Q. (2022). Latent profile/class analysis identifying differentiated intervention effects. Nursing research, 71(5), 394-403. doi
  8. Min, S. H., Docherty, S. L., Im, E.-O., & Yang, Q. (2022). Health Behavior Profiles Among Midlife Women: Identifying At-Risk Subgroups for Metabolic Syndrome Using Latent Class Analysis. Annals of Behavioral Medicine : A Publication of the Society of Behavioral Medicine, 56(9), 946–958.doi
  9. Min, S. H., Docherty, S. L., Im, E. O., & Yang, Q. (2022). Identification of symptom clusters among midlife menopausal women with metabolic syndrome. Western journal of nursing research, 44(9), 838-853.doi
  10. Min, S. H., Docherty, S. L., Im, E. O., Hu, X., Hatch, D., & Yang, Q. (2023). Identification of high-risk symptom cluster burden group among midlife peri-menopausal and post-menopausal women with metabolic syndrome using latent class growth analysis. Women’s Health, 19, 17455057231160955. doi
  11. Scroggins, J. K., Reuter‐Rice, K., Brandon, D., & Yang, Q. (2023). Identification of postpartum symptom subgroups and associated long‐term maternal depressive symptoms and well‐being. Research in nursing & health, 46(5), 485-501. doi
  12. 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
  13. Min, S. H., Lee, C., Scroggins, J. K., & Yang, Q. (2024). Transitions in social networks from young-old to old-old stage of life using latent transition analysis. Journal of Aging and Health, 36(1-2), 110-119. doi
  14. Scroggins, J. K., Reuter-Rice, K., Brandon, D., & Yang, Q. (2024). Maternal psychological symptom trajectories from 2 to 24 months postpartum: A latent class growth analysis. Nursing research, 73(3), 178-187.doi
  15. Scroggins, J. K., Brandon, D., Reuter-Rice, K., Min, S. H., & Yang, Q. (2024). Changes in maternal psychological symptom profiles from 2 to 6 months postpartum: an application of latent transition analysis. Archives of Women’s Mental Health, 27(2), 309-316. doi
  16. Lee, C., Wolever, R. Q., Min, S. H., Vorderstrasse, A. A., & Yang, Q. (2024). Network Psychometrics of the 10-Item Perceived Stress Scale Among Patients With High Cardiovascular and Type 2 Diabetes Risk Using Exploratory Graph Analysis. Journal of Cardiovascular Nursing, 39(2), E36-E43. doi
  17. Miller, H. N., Askew, S., Berger, M. B., Kay, M. C., Palipana, A., Trefney, E., …Yang, Q., Bennett, G. G. (2025). Effects of a Digital Intervention to Improve DASH and Blood Pressure Among US Adults. Hypertension, 82(2), 370–381. doi

Complete list of publication

You can find a complete list of my publication on my Duke website