*: denotes Corresponding Author or Senior Author †: denote students/postdocs advised/co-advised

  1. Wu,B., Pal, S., Kang,J. and Guo,Y.* (2021). Rejoinder to Discussions of "Distributional independent component analysis for diverse neuroimaging modalities", Biometrics, Open Access.

  2. Wu,B., Pal, S., Kang,J. and Guo,Y.* (2021). Distributional Independent Component Analysis for Diverse Neuroimaging Modalities. Biometrics. Selected as a Discussion Paper by Biometrics. Open Access.

  3. Kan, X., Cui, H., Guo, Y. and Yang, C. (2021). Effective and Interpretable fMRI Analysis via Functional Brain Network Generation. Interpretable Machine Learning in Healthcare: The International Conference on Machine Learning (ICML-IMLH).

  4. Patel, R.M, Lukemire, J., Shenvi, N., Arthur, C., Stowell, S.R. , Sola-Visner, M., Easley, K., Roback,J.D., Guo, Y. Josephson, C.D. (2021). Association between Blood Donor Sex and Age with Outcomes in Transfused Very Low Birth Weight Infants. JAMA Network Open; 2021; 4(9);e2123942. Featured in Transfusion News – Global Advances, Trends, and Current Events.

  5. Chen, H., Guo, Y., He, Y., Ji, J., Liu, L., Shi, Y., Wang, Y., Yu, L., Zhang, X. (2021). Simultaneous Differential Network Analysis and Classification for Matrix-variate Data with Application to Brain Connectivity. Biostatistics, Mar 26:kxab007. doi: 10.1093/biostatistics/kxab007. Epub ahead of print. PMID: 33769450.

  6. Keilholz, S., Maltbie, E., Zhang, X., Yousefi, B., Pan, W., Xu, N., Nezafati, M., LaGrow, TJ, Guo, Y. (2020). Relationship between basic properties of BOLD fluctuations and calculated metrics of complexity in the Human Connectome Project. Frontiers in Neuroscience, 14: 939 .

  7. Woodbury, A., Krishnamurthy, V., Gebre, M., Napadow, V., Bicknese, C., Liu, M., Lukemire, J. Kalangara, J., Cui, X., Guo, Y., Sniecinski, R. and Crosson, B. (2020), Feasibility of Auricular Field Stimulation in Fibromyalgia: Evaluation by Functional Magnetic Resonance Imaging. Pain Medicine. In Press.

  8. Lukemire, J, Kundu, S*, Pagnoni, G and Guo, Y * (2020). An integrative Bayesian approach for joint modeling of multiple brain networks, JASA, In Press.

  9. Lukemire, J., Wang, Y., Verma, A. and Guo, Y* (2020). HINT: A Hierarchical Independent Component Analysis Toolbox for Investigating Brain Functional Networks using Neuroimaging Data. Journal of Neuroscience Methods. 341: 108726. DOI. arXiv

  10. Wei,B., Dai,T., Peng, L., Guo, Y., Manatunga, AK (2020), A New Functional Representation of Broad Sense Agreement. Statistics and Probability Letters, 158, p.108619.

  11. Mejia, A., Nebel, M.B., Wang, Y., Caffo, B. and Guo, Y* (2019). Template independent component analysis: targeted and reliable estimation of subject-level brain networks using big data population priors. Journal of the American Statistical Association, Nov 20: 1-27.

  12. Higgins, IA, Kundu, S., Choi, KS., Mayberg, H., Guo, Y* (2019), A Differential Degree Test for Comparing Brain Networks. Human Brain Mapping, 1-19.

  13. Hu, R., Qiu, D., Guo, Y., Zhao, Y., Leatherday, C., Wu, J., Oshinski, J. and Allen, J. (2019). Variability of Resting State Functional MRI Graph Theory Metrics Across 3T Platforms. Journal of Neuroimaging, 29(3), 283-417. PubMed

  14. Wang, Y. and Guo, Y * (2019). A hierarchical independent component analysis model for longitudinal neuroimaging studies. NeuroImage. 189: 380-400. An earlier version of the paper was one of the winners of 2018 ENAR Distinguished Student Paper Award and the First-Place Winner of the 2018 Student Paper Competition of American Statistical Association (ASA) Statistics in Imaging Section. PubMed

  15. Qiu, Z, Peng, L, Manatunga, AK, Guo, Y. (2019). A Smooth Nonparametric Approach to Determining Cut-Points of a Continuous Scale. Computational Statistics and Data Analysis. 134, 186-210.

  16. Kundu, S., Lukemire, J., Wang, Y. and Guo, Y., 2019. A novel joint brain network analysis using longitudinal Alzheimer’s disease data. Scientific reports, 9(1), pp.1-18.

  17. Kemmer, P, Wang, Y., Bowman, F.D., Mayberg, H. and Guo, Y * (2018). Evaluating the strength of structural connectivity underlying brain functional networks. Brain Connectivity. In press.

  18. Higgins, IA, Kundu, S. and Guo, Y., (2018). Integrative Bayesian Analysis of Brain Functional Networks Incorporating Anatomical Knowledge. NeuroImage, 181: 263-278. PubMed

  19. Guo, Y*, Wang Y., Marin, T., Easley, K., Patel, R.M., Josephson, C.D. (2018). Statistical Methods for Characterizing transfusion-related changes in regional oxygenation using Near-infrared spectroscopy (NIRS) in preterm infants. Statistical Methods in Medical Research. In press. PubMed

  20. Kundu, S.*, Ming, J., Pierce, J. McDowell, J. and Guo, Y *, (2018), Estimating Dynamic Brain Functional Networks Using Multi-subject fMRI Data, NeuroImage, 183: 635-649. PubMed

  21. Dai, T, Guo, Y *, Peng, L., Manatunga, AK (2018). A local agreement pattern measure based on hazard functions for survival outcomes. Biometrics, 74(1):86-99.

  22. Rahman, AF, Manatunga, AK, Guo Y, Peng, L., Warnock, M., Ressler, K.J., Jovanovic, T. (2018). A Latent Class Analysis of PTSD Symptoms Among Inner City Primary Care Patients. Journal of Psychiatric Research, 98:1-8.

  23. Waldrop-Valverde, D., Murden, R.J., Guo, Y., Holstad, M., & Ownby, R.L. (2018). Racial disparities in HIV antiretroviral medication management are mediated by health literacy. Health Literacy Research and Practice, 2(4):e205-e213.

  24. Marin, T., Patel, R., Josephson, C., Roback, J., Stowell, S., Guo, Y., Easley, K., Warnock, M. and Skvarich, J., Josephson, C.D. (2018). Does Red Blood Cell Irradiation and/or Anemia Trigger Intestinal Injury in Premature Infants with Birth Weight ≤ 1250 grams? An Observational Birth Cohort Study. BMC Pediatrics, 18:270.

  25. Wheat, J., Myint, T., Guo, Y., Kemmer, P., Hage, C., Terry, C., Azar, M.M., Riddell, J., Ender, P., Chen, S. and Shehab, K., (2018). Central nervous system histoplasmosis: Multicenter retrospective study on clinical features, diagnostic approach and outcome of treatment. Medicine, 97(13).

  26. Dai, T and Guo, Y * (2017). Predicting Individual Brain Functional Connectivity Using a Bayesian Hierarchical Model. NeuroImage.147(15): 772–787. An earlier version of the paper was the Second-Place winner of the 2016 Student Paper Competition, American Statistical Association (ASA) Statistics in Imaging Section. PubMed

  27. Rahman, AF, Peng, L., Manatunga, AK, Guo, Y (2017). Nonparametric regression method for broad sense agreement. Journal of nonparametric statistics, 29(2):280-300.

  28. Shi, Rand Guo, Y *. (2016). Investigating differences in brain functional networks using hierarchical covariate-adjusted independent component analysis. Annals of Applied Statistics. 10(4): 1930-1957. An earlier version of the paper was selected for the First-Place winner of the 2015 Student Paper Competition, American Statistical Association (ASA) Statistics in Imaging Section.

  29. Peng, L., Manatunga, AK, Wang, M., Guo, Y. and Rahman AF (2016). A general approach to categorizing a continuous scale according to an ordinal outcome. Journal of Statistical Planning and Inference, May 1;172:23-25.

  30. Wang, Y, Kang J, Kemmer, PB and Guo, Y*. (2016). An efficient and reliable statistical method for estimating functional connectivity in large-scale brain networks using partial correlation. Frontiers in Neuroscience. 10:123. doi: 10.3389/fnins.2016.00123.

  31. Cordova, J.S., Gurbani, S. S., Holder, C.A. Olson, J.J., Schreibmann, E., Shi, R., Guo, Y., Shu, H.G., Shim, H., Hadjipanayis, C.G. (2016) Semi-quantitative volumetric and morphological assessment of glioblastoma resection with fluorescence-guided surgery. Molecular Imaging and Biology, 18.3: 454–462.

  32. Darcy-Mahoney, A., Minter, B., Higgins, M., Guo, Y., Williams, B., Head, L. M., & Birth, K. (2016). Probability of an Autism Diagnosis by Gestational Age. Newborn and Infant Nursing Reviews: 16(4): 322-326.

  33. Darcy-Mahoney, A., Minter, B., Higgins, M., Guo, Y., Zauche, L.H. and Hirst, J., (2016). Maternal and Neonatal Birth Factors Affecting the Age of ASD Diagnosis. Newborn and Infant Nursing Reviews, 16(4), pp.340-347.

  34. Zuniga, J.A., Yoo-Jeong, M., Dai, T., Guo, Y. and Waldrop-Valverde, D., (2016). The role of depression in retention in care for persons living with HIV. AIDS patient care and STDs, 30(1), pp.34-3.

  35. Kemmer PB, Guo Y *, Wang Y and Pagnoni G. (2015). Network-based characterization of brain functional connectivity in Zen practitioners. Frontiers in Psychology, 6, 603.

  36. Ferranti, E. P. Narayan, K. M. V., Reilly, C. M., Foster, J., McCullough, M., Ziegler, T. R., Guo, Y., Dunbar, S. B. (2014). Dietary Self Efficacy predicts AHEI Diet Quality in Women with previous Gestational Diabetes. The Diabetes Educator. 40(5), 688-699.

  37. Shim H, Wei L, Holder C, Guo Y, Hu XP, Miller AH, Olson JJ. (2014). Use of high resolution volumetric MR spectroscopic imaging in assessing treatment response of GBM to an HDAC inhibitor. American Journal of Roentgenology, 203.2: W158-W165.

  38. Cordova JS, Schreibmann, E., Hadjipanayis CG., Guo Y, Shu H, Shim H. and Holder C. (2014). Quantitative tumor segmentation for evaluation of extent of glioblastoma resection to facilitate multisite clinical trials. Translational Oncology. 7(1):40-7.

  39. Waldrop-Valverde D., Guo Y., Ownby R.L., Rodriguez A. and Jones D.L. Risk and Protective Factors for Retention in HIV Care. (2014). AIDS and Behavior. 18(8):1483-91.

  40. Guo Y* and Tang Li. (2013). A hierarchical probabilistic model for group independent component analysis in fMRI studies. Biometrics. 69(4):970-81.

  41. Guo, Y*, Li R, Peng L and Manatunga AK. (2013). A new agreement measures based on survival processes. Biometrics. 69(4):874-82.

  42. Ross H, Guo Y, Coleman K, Ousley O, Miller A. (2013). Association of IL-12p70 and IL-6:IL-10 ratio with autistic-like behavior in 22q11.2 deletion syndrome. Brain, Behavior and Immunity, 31:76-81.

  43. Kung R.D, Reid AL, Maheshwari R, Fleischman W, Guo Y, McMahon MM, Nesmith E, Patel M, Lennox JL, Wehbi MA, Ford RM. (2013). Colon Cancer Screening in HIV-infected Patients Age 50 and Older: Data from an outpatient HIV clinic. Practical Gastroenterology. pp32-42.

  44. Corwin, E.J., Guo, Y., Pajer, K., Lowe, N., McCarthy, D., Schmiege, S., Weber, M., Pace, T., & Stafford, B.(2013). Immune Dysregulation and Glucocorticoid Resistance in Minority and Low Income Pregnant Women. Psychoneuroendocrinology. 38(9):1786-96.

  45. Lyles RH, Guo Y and Greenland S. (2012). Reducing bias and mean squared error associated with regression-based odds ratio estimators. Journal of Statistical Planning and Inference. 142: 3235-3241.

  46. Peng L, Li R, Guo Y, and Manatunga AK.(2011). Assessing Broad Sense Agreement between Ordinal and Continuous Measurements. Journal of American Statistician Association. 106: 1592-1601. Selected as JASA Featured Article.

  47. Guo Y (2011). A general probabilistic model for group independent component analysis and its estimation methods. Biometrics. 67(4): 1532-1542.

  48. Guo Y (2010). A weighted cluster kernel PCA prediction model for multi-subject brain imaging data. Statistics And Its Interface. 3:103-111.

  49. Guo Y* and Manatunga AK (2010). A note on assessing agreement for frailty models. Statistics and Probability Letters. 80: 527-533.

  50. Lyles, R, Guo Y and Hill, A (2009). A Fresh Look at the Discriminant Function Approach for Estimating Crude or Adjusted Odds Ratios. The American Statistician, 63(4): 320-327.

  51. Guo Y* and Manatunga AK (2009). Measuring agreement of multivariate discrete survival times using a modified weighted kappa coefficient. Biometrics, 65(1):125-34.

  52. Guo Y* and Pagnoni G (2008). A unified framework for group independent component analysis for multi-subject fMRI data. NeuroImage 42: 1078-1093. Listed in ScienceDirect’s Top 25 hottest articles of NeuroImage between July-Sep. 2008.

  53. Guo Y (2008). Group Independent Component Analysis of Multi-subject fMRI data: Connections and Distinctions between Two Methods. IEEE Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics v2: 748-752.

  54. Guo Y* and Bowman FD (2008). Modeling Dose-Dependent Neural Processing Responses Using Mixed Effects Spline Models. NeuroImage, 40: 698-711.

  55. Guo Y*, Bowman FD, Kilts C (2008). Predicting the brain response to treatment using a Bayesian Hierarchical model . Human Brain Mapping, 29(9): 1092-1109.

  56. Pagnoni G, Cekic M and Guo Y (2008). “Thinking about not-thinking”: neural correlates of conceptual processing during Zen meditation. PLoS ONE, 3(9): e3083.

  57. Bruce EC, Guo Y, Lawson KC, Manatunga AK, McDonald WM, Rushing N, Brown AR, Gilles N, Emery M, Bonsall R, Porquez J, Stowe Z, Nemeroff CB, Musselman DL (2008). Platelet Thromboxane A2 secretion in patients with major depression responsive to electroconvulsive therapy. Psychosomatic Medicine, 70:319–327.

  58. Bowman FB, Guo Y, and Derado G. (2007). Statistical Approaches to Functional Neuroimaging data. Neuroimaging Clinics of North America: Imaging of the mind, 17(4): 441-458.

  59. Guo Y* and Manatunga AK (2007). Nonparametric estimation of the concordance correlation coefficient under univariate censoring. Biometrics, 63(1): 164-172.

  60. Guo Y *, Musselman DL, Manatunga AK, Gilles N, Lawson KC, Porter MR, McDaniel JS and Nemeroff CB* (2006). The diagnosis of major depression in patients with cancer: a comparative approach. Psychosomatics, 47: 376 - 384.

  61. Guo Y *, Manatunga AK, Chen S. and Marcus M (2006). Modeling menstrual cycle length using a mixture distribution. Biostatistics, 7(1):100-114.

  62. Guo Y *, Musselman DL, Manatunga AK, Gilles N, Lawson KC, Porter MR, McDaniel JS and Nemeroff CB (2006). The diagnosis of major depression in patients with cancer: a comparative approach. Psychosomatics, 47: 376 - 384.

  63. Wolf SL, O’Grady M, Easley KA, Guo Y, Kressig RW and Kutner M (2006). The influence of intense Tai Chi training on functional performance and hemodynamic outcomes in transitionally frail, older adults. The Journal of Gerontology: Medical Sciences, 61A (2): 184-189.

  64. Musselman DL, Somerset WI, Porter M, Guo Y, Manatunga AK, Penna S, Schatzberg A, Evans D and Nemeroff CB (2006). A double-blinded, multicenter, parallel group study of paroxetine, desipramine, or placebo in breast cancer patients (stages I, II, III & IV) with major depression. The Journal of Clinical Psychiatry, 67:288-296.

  65. Guo Y *and Manatunga AK (2005). Modeling the agreement of discrete bivariate survival times using kappa coefficient. Lifetime Data Analysis, 11(3): 309-332.

  66. Guo Y, Nilsson ME, Heiligenstein JH, Wilson MG and Emslie GJ. An exploratory factor analysis of the children’s depression rating scale-revised (2005). Journal of Child and Adolescent Psychopharmacology, 16 (4): 482-491.