Selected Publications and Preprints

* indicates co-first authors; ^ indicates co-corresponding authors

2026

• 1. Wu, Q., Li, L., Lei, Y., Zhou, T., Tang, H., Zhang, B., ... & Chen, Y. (2026). Discovering repurposable drugs for Alzheimer’s disease and related dementias: target trial emulation using decentralised real-world data. EBioMedicine, 132.

  2. Zhang, B.*, Wu, Q.*, Zhu, T., Zhang, D., Tong, J., Lei, Y., Chen, H., Wang, L., Chorpita, A., Qin, Y., Li, Y., Ryan, P. B., Morris, J. S., Schuemie, M. J., Forrest, C. B., Hripcsak, G., & Chen, Y. (2026) Assessing residual bias in real-world vaccine effectiveness studies: Validating negative controls to avoid misleading results. BMC Medicine (in press).

  3. Zhang, B.*, Wu, Q.*, Lu, Y., Zhang, D., Zhou, T., Tong, J., Lei, Y., Chu, H., Wang, L., Qiu, Y., Ryan, P., Forrest, C., Hripcsak, G., & Chen, Y. (2026). Importance of Time-At-Risk for Evaluating Time-Varying Residual Bias in Observational Studies. Communication Health (in press).

  4. Pham, T. Q.*, Wu, Q.*, Pan, C., Ha, L., Bui, T. C., Sujan, M. S. H., ... & Ha, T. (2026). Enhancing quality of life through tailored interventions for men living with HIV. Quality of Life Research, 35(2), 27.

  5. Zhang, V. Z., Ferreira, P. C. L., Dong, Y., Minhas, D., Povala, G., Bellaver, B., Pascoal, T. A., Zeng, X., Karikari, T. K., Cohen, A. D., Deek, R. A., Wu, Q.^, & Tudorascu, D. L.^ (2026). Evaluation of harmonization methods to mitigate assay and cohort effects in plasma p-tau217. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, 18(4):e70518.

  6. Zhang, B., Wu, Q., Jhaveri, R., Zhou, T., Becich, M. J., Bisyuk, Y., ... & Chen, Y. (2026). Long COVID associated with SARS-CoV-2 reinfection among children and adolescents in the omicron era (RECOVER-EHR): a retrospective cohort study. The Lancet Infectious Diseases, 26(2), 127-138.

  7. Li, L., Wu, Q., O’Brien, K.S., Lu, Y., Zhang, B., Zhou, T., Tong, J., Zhang, D., Lei, Y., Tang, H., Li, H., Xu, Z., Huang, Y., Hu, Y., Zhou, Y., Lin, F., Lu, Y., Chen, Y., Jiang, Y., Wang, F., Bian, J., Xu, H., Williamson, J.D., Wolk, D.A., Asch, D.A., and Chen, Y. (2026) LATTE: A One-shot Lossless Algorithm for Federated Target Trial Emulation with Application to ADRD Drug Repurposing Using Decentralized Data. The Lancet Digital Health (in press).

  8. Tong, J., Li, L., Zhang, D., O’Brien, K. S., Lu, Y., Wu, Q., Zhou, T., Zhang, B., Lei, Y., Tang, H., Li, H., Xu, Z., Huang, Y., Hu, Y., Zhou, Y., Lin, F., Wolk, D. A., Jiang, Y., Chu, H., Chen, Y., Wang, F., Bian, J., Xu, H., and Chen, Y. (2026) FLAT-WHITE: From Target Trial Emulation to Federated High-Throughput Causal Machine Learning using Decentralized Real-World Data. npj Health Systems (in press).

  9. Lei, Y., Chen, J., Wu, Q., Zhou, T., Zhang, B., Becich, M. J., ... & RECOVER Consortium. (2026). Target trial emulation of vaccine effectiveness in 5-to 17-years-olds with prior SARS-CoV-2 infection. Nature Communications.

  10. Shao, M., Xia, D., Zhang, Y., Wu, Q., & Chen, S. (2026). Higher-order accurate two-sample network inference and network hashing. Journal of the American Statistical Association, 121(553), 373-388.

  11. Zhang, B., Wu, Q., Reps, J. M., Li, L., Tong, J., Lu, Y., ... & Chen, Y. (2026). A lossless one-shot distributed algorithm for addressing heterogeneity in multi-site generalized linear models. Journal of the American Medical Informatics Association, 33(3), 700-709.

  12. Zhou, T., Zhang, B., Zhang, D., Jhaveri, R., Chen, J., Becich, M. J., ... Wu, Q., Forrest, C.B., & Chen, Y. (2026). Pre-COVID-19 body mass index and postacute cardiovascular, gastrointestinal, and neuropsychiatric outcomes among children and young adults with SARS-CoV-2 infection: An EHR-based cohort study from the RECOVER initiative. Journal of Infection, 106702.

  13. Lei, Y., Zhou, T., Zhang, B., Zhang, D., Tang, H., Chen, J., Wu, Q., ... & Chen, Y. (2026). Post-acute dyslipidemia and abnormal BMI in children and adolescents with COVID-19: A cohort study from the RECOVER Initiative. The Journal of Pediatrics, 114996.

2025

• 14. 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.

  15. 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.

  16. 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 pediatric population: Findings from difference-in-differences analyses in RECOVER program. Nature Communications. 16, 878.

  17. 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.

  18. Li, L., Zhou, T., Lu, Y., Chen, J., Lei, Y., Wu, Q., ... & Chen, Y. (2025). Kidney function following COVID-19 in children and adolescents. JAMA Network Open, 8(4), e254129.

2024

• 19. 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. 

  20. 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.

  21. 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.

  22. Wu, Q., Wang, C., Chen, Y., (2024) Heterogeneous latent transfer learning in Gaussian graphical models, Biometrics, 80(3), ujae096.

  23. 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.

  24. 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.

  25. 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. (2024). Vaccine Effectiveness Against Long COVID in Children. Pediatrics, 153(4), e2023064446.

2023

• 26. 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. 

  27. 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.

  28. 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.

  29. 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]

  30. 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. 

  31. 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. [medRxiv]

  32. 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.

  33. 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. (2023). Frontal white matter association with sleep quality and the role of stress. Journal of Sleep Research, 32(1), e13669.

2022 and earlier

• 34. 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. [codes]

  35. 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. [codes] 

  36. 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. [codes] 

  37. 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.

  38. 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.

  39. 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.

  40. 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.

  41. 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.