Selected Publications and Preprints

Statistical analysis of complex-structured data

• 1. Wu, Q., Zhang, Y., Huang, X., Ma, T., Kochunov, P., Hong, L. E., & Chen, S., (2024). A multivariate to multivariate approach for voxel-wise genome-wide association analysis. Statistics in Medicine. 43(20): 3862-3880. doi: 10.1002/sim.10101. [paper]

  2. Chen, S., Zhang, Y., Wu, Q., Bi, C., Kochunov, P., & Hong, L. E. (2024). Identifying covariate-related subnetworks for whole-brain connectome analysis. Biostatistics, 25(2), 541-558. [paper]

  3. Shao, M., Xia, D., Zhang, Y., Wu, Q., & Chen, S. (2025). Higher-order accurate two-sample network inference and network hashing. Journal of the American Statistical Association, 1–26. https://doi.org/10.1080/01621459.2025.2520459. [paper]

  4. Wu, Q., Huang, X., Culbreth, A., Waltz, J., & Chen, S. (2021) Extracting Brain Disease Related Connectome Subgraphs by Adaptive Dense Graph Discovery. Biometrics. 78(4), 1566-1578. [paper] [codes]

  5. Wu, Q., Ma, T., Liu, Q., Milton, D., Zhang, Y., & Chen, S. (2021). ICN: Extracting interconnected communities in gene Co-expression networks, Bioinformatics, Volume 37, Issue 14, July 2021, Pages 1997–2003. [paper] [codes] 

  6. Wu, Q., Zhang, Z., Waltz, J., Ma, T., Milton, D.,  & Chen, S. (2021). Link predictions for incomplete network data with outcome misclassification. Statistics in Medicine. 2021; 40: 1519–1534. [paper] [codes] 

  7. Culbreth, A. J., Wu, Q., Chen, S., Adhikari, B. M., Hong, L. E., Gold, J. M., & Waltz, J. A. (2020). Temporal-thalamic and cingulo-opercular connectivity in people with schizophrenia. NeuroImage: Clinical, 29, 102531. [paper]

  8. Chen, S., Zhang, Z., Mo, C., Wu, Q., Kochunov, P., & Hong, L. E. (2020). Characterizing the Complexity of Weighted Networks via Graph Embedding and Point Pattern Analysis. Entropy, 22(9), 925. [paper]

Multi-source data integration

• 9. Wu, Q., Reps, J. M., Li, L., Zhang, B., Lu, Y., Tong, J., Zhang, D., Lumley, T., Brand, M. T., Van Zandt, M., Falconer, T., He, X., Huang, Y., Li, H., Yan, C., Tang, G., Williams, A. E., Wang, F., Bian, J., Malin, B., Hripcsak, G., Schuemie, M. J., Lu, Y., Zhou, J., & Chen, Y. (2025) COLA-GLM: Collaborative One-shot and Lossless Algorithms of Generalized Linear Models for Decentralized Observational Healthcare Data. npj Digital Medicine, 8(1), 442.

  10. Wu, Q., Wang, C., Chen, Y., Heterogeneous latent transfer learning in Gaussian graphical models, Biometrics, 80(3), ujae096. [paper]

  11. Wu, Q., Pajor, N., Lu, Y., Tong, J., Wolock, C., Asch, D., Forrest, C. B., & Chen, Y. (2024). A latent transfer learning method for estimating hospital-specific post-acute healthcare demands following SARS-CoV-2 infection. Patterns, 101079. [paper]

  12. Wu, Q., Hu, J., Schuemie, M. J., Suchard, M. A., Ryan, P., Hripcsak, G. M., Rohde, C. A., & Chen, Y. (2023). Fed-Padé: federated causal inference for heterogeneous treatment effects in distributed research networks. 

  13. Wu, Q., Schuemie, M. J., Suchard, M. A., Ryan, P., Hripcsak, G. M., Rohde, C. A., & Chen, Y. (2023). Padé approximant meets federated learning: A nearly lossless, one-shot algorithm for evidence synthesis in distributed research networks with rare outcomes. Journal of Biomedical Informatics, 145, 104476. https://doi.org/10.1016/j.jbi.2023.104476. [paper]

Clinical evidence generation using real-world data

• 14. Wu, Q., Zhang, B., Tong, J., Bailey, L.C., Bunnell, H.T., Chen, J., Chrischilles, E.A., Christakis, D.A., Downs, S.M., Hirabayashi, K., Jhaveri, R., Mishkin, A.D., Mosa, A.S.M., Pajor, N.M., Rao, S., Razzaghi, H., Schwenk, H.T., Sills, M.R., Wang, H., Wang, L., Wang, Y., Zhang, D., Zhou, T., Tchetgen Tchetgen, E.J., Morris, J.S., Forrest, C.B., & Chen. Y., (2025). Real-world Effectiveness and Causal Mediation Study of BNT162b2 on Long COVID Risks in Children and Adolescents. EClinicalMedicine, 79. [paper]

  15. Wu, Q.*, Tong, J.*, Zhang, B., Zhang, D., Xu, J., Shen, Y., Li, L., Bailey, C. L., Bian, J., Christakis, A. D., Fitzgerald, L. M., Hirabayashi, K., Jhaveri, R., Khaitan, A., Lyu, T., Rao, S., Razzaghi, H., Schwenk, H., Wang, F., Witvliet, M., Tchetgen Tchetgen, E., Morris, J. S., Forrest, C. B., & Chen, Y. (2024). Real-world Effectiveness of BNT162b2 Against Infection and Severe Diseases in Children and Adolescents. Annals of Internal Medicine. 177(2), 165-176. [paper]

  16. Jing, N., Liu, X., Wu, Q., Rao, S., Mejias, A., Maltenfort, M., Schuchard, J., Lorman, V., Razzaghi, H., Webb, R., Zhou, C., Jhaveri, R., Lee, G. M., Pajor, N., Thacker, D., Bailey, C. L., Forrest, C. B., & Chen, Y. (2023). Development and validation of a federated learning framework for detection of subphenotypes of multisystem inflammatory syndrome in children. Under review. [medRxiv]

  17. Zhang, D., Zhang, B., Wu, Q., Zhou, T., Tong, J., Lu, Y., Chen, J., Wang, H., Chisolm, D. J., Jhaveri, R., Rothman, R. L., Rao, S., Williams, D. A., Horning, M., Morris, J. S., Forrest, C. B., & Chen, Y. (2025). Racial/Ethnic Differences in Long-COVID-Associated Symptoms among Pediatrics Population: Findings from Difference-in-differences Analyses in RECOVER Program. Nature Communications. 16, 878. [paper]

Scientific collaborations

• 18. Zhang, B., Thacker, D., Zhou, T., Zhang, D., Lei, Y., Chen, J., Chrischilles, E., Christakis, D.A., Fernandez, S., Garg, V., Kim, S., Mosa, A.S.M., Sills, M.R., Taylor, B.W., Williams, D.A., Wu, Q., Forrest, C.B., & Chen, Y. (2025) Cardiovascular post-acute sequelae of SARS-CoV-2 in children and adolescents: cohort study using electronic health records. Nature communications, 16(1), 3445. [paper]

  19. Li, L., Zhou, T., Lu, Y., Chen, J., Lei, Y., Wu, Q., ... & Chen, Y. (2024). Kidney Function Following COVID-19 in Children and Adolescents. JAMA network open, 8(4), e254129-e254129. [paper]

  20. Zhou, T., Zhang, B., Zhang, D., Wu, Q., Becich, M., Blecker, S. B., ... & Chen, Y. (2024). Body Mass Index and Postacute Sequelae of SARS-CoV-2 Infection in Children and Young Adults. JAMA Network Open, 2024;7(10):e2441970. [paper]

  21. Razzaghi, H., Forrest, C. B., Hirabayshi, K., Wu, Q., Allen, A., Rao, S., Chen, Y., Bunnell, T., Chrischilles, E. A., Cowell, L. G., Cummins, M. R., Hanauer, D. A., Higginbotham, M. J., Horne, B., Horowitz, C. R., Jhaveri, R., Kim, S., Mishkin, A., Muszynski, J., Naggie, S., Pajor, N. M., Paranjape, A., Schwenk, H. T., Sills, M. R., Tedla, Y. G., Williams, D. A., & Bailey, C. (2023). Vaccine Effectiveness Against Long COVID in Children. Pediatrics, 153(4), e2023064446. [paper]

  22. Rao, S., Jing, N., Liu, X., Lorman, V., Maltenfort, M., Schuchard, J., Wu, Q., Tong, J., Razzaghi, H., Lee, G. M., Pajor, N., Schulert, G., Thacker, D., Jhaveri, R., Christakis, D., Bailey, C. L., Forrest, C. B., & Chen, Y. (2023). Spectrum of severity of multisystem inflammatory syndrome in children: an EHR-based cohort study from the RECOVER program. Scientific Reports, 13(1), 21005. [paper]

  23. Pajor, N. M., Lorman, V., Razzaghi, H., Case, A., Prahalad, P., Brill, S. B., Wu, Q., Chen, Y., Block, J., Patel, P., Rao, S., Mejias, A., Thacker, D., Jhaveri, R., Bailey, C. L., Forrest, C. B., & Lee, G. M. (2023). Healthcare utilization following SARS-CoV-2 infection in children and adolescents with chronic conditions: An EHR-based Cohort Study from the RECOVER Program. [medRxiv]

  24. Prahalad, P., Lorman, V., Wu, Q., Razzaghi, H., Chen, Y., Pajor, N., Case, A., Bose-Brill, S., Block, J., Patel, P., Rao, S., Meijias, A., Forrest, C. B., Bailey, C. L., Jhaveri, R., Thacker, D., Christakis, D. A., & Lee, G. M.(2023). Impact of SARS-CoV-2 infection on disease trajectory in youth with T1D: An EHR-based cohort study from the RECOVER program. Pediatric Diabetes, 2023(1), 8798997. [paper]

  25. Mo, C., Ye, Z., Pan, Y., Zhang, Y., Wu, Q., Bi, C., Liu, S., Mitchell, B., Kochunov, P., Hong, L. E., Ma, T., & Chen, S. (2023). An in-depth association analysis of genetic variants within nicotine-related loci: Meeting in middle of GWAS and genetic fine-mapping. Molecular and Cellular Neuroscience, 103895. [paper]

  26. Mo, C., Ye, Z., Ke, H., Lu, T., Canida, T., Liu, S., Wu, Q., Zhao, Z., Ma, Y., Hong, L. E., Kochunov, P., Ma, T., & Chen, S. (2022). A new Mendelian Randomization method to estimate causal effects of multivariable brain imaging exposures. Pacific Symposium on Biocomputing, 73-84. [paper]

  27. Qadir, H., Stewart, B. W., VanRyzin, J. W., Wu, Q., Chen, S., Seminowicz, D. A., & Mathur, B. N. (2022). The mouse claustrum synaptically connects cortical network motifs. Cell reports, 41(12), 111860. [paper]

  28. Bruce, H. A., Kochunov, P., Kvarta, M. D., Goldwaser, E. L., Chiappelli, J., Schwartz, A., Lightner, S., Endres, J., Yuen, A., Ma, Y., Van der Vaart, A., Hatch, K., Gao, S., Ye, Z., Wu, Q., Chen, S., Mitchell, D. B., & Hong, L. E. (2022). Frontal white matter association with sleep quality and the role of stress. Journal of Sleep Research, 32(1), e13669. [paper]

  29. Adenaiye, O., Bueno de Mesquita, P., Wu, Q., Hong, H., Lai, J., Chen, S., & Donald, M., (2021). The effect of COVID‐19 stay‐at‐home order and campus closure on the prevalence of acute respiratory infection symptoms in college campus cohorts. Influenza Other Respi Viruses, 15(3), 331-335. [paper]