Biography

Dr. Liang Zhu received her Ph.D. degree in Statistics in 2008 from University of Missouri – Columbia. After her graduation, she worked in the Department of Biostatistics at St. Jude Children’s Research Hospital. In 2016, she joined the University of Texas Health Science Center at Houston (UTHealth) McGovern Medical School as an Associate Professor. Dr. Zhu’s current research focuses on longitudinal data analysis, survival analysis, semiparametric methods, clinical trials, as well as machine learning applications. Dr. Zhu has received extramural grants as the PI to support her independent research: an NIH R21 grant in 2016 and multiple NIH R03 grant in 2013, 2017, and 2020. Dr. Zhu also provide statistical support to the Department of Neurology and Neurosurgery and other departments at UTHealth and served as a co-investigator in multiple NIH R01, DOD, or foundation grants.

Education

Doctoral Degree
Statistics, University of Missouri – Columbia
Bachelor Degree
Engineering Management, Tongji University, Shanghai, China

Areas of Interests

Research Interests

  • Longitudinal data analysis
  • Survival analysis
  • Clinical trials
  • Epidemiology

Publications

Publication Information

Statistical Methods Research

  1. Zhu, L., Tong, X. and Sun, J.: A transformation approach for the analysis of interval- censored failure time data. Lifetime Data Analysis 14, 115-230, 2008.
  2. Zhu, L., Sun, J. and Wood, P.: Statistical methods for the analysis of alcohol and drug use for young adults. Journal of Data Science 7, 469-485, 2009.
  3. Sun, L., Zhu, L. and Sun, J.: Regression analysis of multivariate recurrent event data with time-varying covariate effects. Journal of Multivariate Data Analysis 100, 2214-2223, 2009.
  4. Tong, X., Zhu, L., and Sun, J.: Variable selection of recurrent event data by nonconcave penalized estimating equation. Lifetime Data Analysis 16(4): 478-90, 2010.
  5. Zhu, L., Sun, J., Tong, X. and Srivastava, D.K.: Regression analysis of multivariate recurrent event data with a dependent terminal event. Lifetime Data Analysis 16(4): 478-90, 2010.
  6. Zhu, L., Sun, J., Tong, X. and Pounds, S.: Regression Analysis of Longitudinal Data with Informative Observation Times and Application to Medical Cost Data. Statistics in Medicine 30(12): 1429-1440, 2011.
  7. Zhu, L., Sun, J., Srivastava, D.K., Tong, X., Leisenring W., Zhang, H., and Robison, L.L.: Semi-parametric Transformation Models for Joint Analysis of Multivariate Recurrent and Terminal Events. Statistics in Medicine 30(25): 3010-3023, 2011
  8. Zhang, H., Lu, N., Feng, C., Thurston, S.W., Xia, Y., Zhu, L. and Tu, X.M.: On Fitting Generalized Linear Mixed-effects Models for Binary Responses using Different Statistical Packages. Statistics in Medicine 30(20): 2562-2572, 2011.
  9. Zhu, L., Zhao, H., Sun, J., Pounds, S. and Zhang, H.: Joint Analysis of Longitudinal Data and Recurrent Episodes Data with Application to Medical Cost Analysis. Biometrical Journal 55(1):5-16, 2013.
  10. Zhu, L., Zhao, H., Tong, X., Sun, J., Srivastava, D.K., Leisenring W. and Robison, L.L.: Statistical analysis of mixed recurrent event data with application to cancer survivor study. Statistics in Medicine 32 (11): 2013.
  11. Zhu, L., Zhao, H., Sun, J., Pounds, S.. A Conditional Approach for Regression Analysis of Longitudinal Data with Informative Observation Time and Non-negligible Observation Duration. Communications in Statistics, Theory and Methods. 2014, 4998-5011.
  12. Chen, M., Tong, X., and Zhu, L.: A linear transformation model for multivariate interval-censored failure time data. Canadian Journal of Statistics 41(2): 275-290, 2013.
  13. Tong, X., Zhu, L., Leng, C., Leisenring, W., and Robison, L.L.: A General Semiparametric Hazards Regression Model: Efficient Estimation and Structure Selection. Statistics in Medicine 32(28): 4980-4994, 2013.
  14. Zhu, L., Tong, X., Sun, J., Leisenring, W., and Robison, L.L.: Regression analysis of mixed recurrent-event and panel-count data. Biostatistics 15(3):555-68; 2014
  15. Huang, Q.L. and Zhu, L.: %IC LOGISTIC: A SAS Macro to Produce Sorted Information Criteria (AIC/BIC) List for PROC LOGISTIC for Model Selection. PharmaSUG Proceeding 2014 (*best paper award).
  16. Huang, Q. L. and Zhu, L.: The %IC MIXED: A SAS Macro to Produce Sorted Information Criteria List for PROC MIXED for Model Selection. SUG Proceeding. 2015.
  17. Zhu, L., Li, Y., and Huang, Q.: %PIC NPMLE: A SAS Macro for Nonparametric Estimation In Partly Interval-Censored Survival Data. PharmaSUG Proceeding 2015.
  18. Zhu, L., Zhao, H., Sun, J., Leisenring W. and Robison, L.L.: Regression analysis of mixed recurrent-event and panel-count data with additive rate models. Biometrics 71(1):71-79; DOI: 10.1111/biom.12247, 2015.
  19. Jin, J., Zhu, L., Tong, X. and Ness, K.K.: T-type Corrected-Loss Estimation for Error-in-Variable Model. Communications in Statistics, Theory and Methods 2017; 46(2): 616-627.
  20. Zhang, H., He, H., Lu, N., Zhu, L., Zhang, B., Zhang, Z. and Tang, L.: A Non-parametric Model to Address Overdispersed Count Response in a Longitudinal Data Setting with Missingness. Statistical Methods in Medical Research 2017, 26(3) 1461–1475.
  21. Yu, G., Zhu, L., Li, Y., Sun, J., Robison, L.L: Regression Analysis of Mixed Panel Count Data with Dependent Terminal Events. Statistics in Medicine 2017, 36 (10): 1669-1680.
  22. Choi, S., Zhu, L., Huang, X. Semiparametric accelerated failure time cure rate mixture models with competing risks. Statistics in Medicine, 2018 37(1):48-59, 2018.
  23. Zhu, L., Zhang, Y., Li, Y., Sun, J., Robison, L. Statistical analysis of mixed panel-count data with application to cancer survivor study. Biometrics, 2018 74(2):488-497, 2018
  24. Yu, G., Zhu, L., Sun, J., Robison, L.L: Regression analysis of incomplete data from event history studies with the proportional rates model. Statistics and its Interface 2018, 11: 91 – 97.
  25. Rahbar, M. H., Choi, S., Hong, C., Zhu, L., Jeon S., Gardiner J. C. Nonparametric estimation of median survival times with applications to multi-site or multicenter studies. PLoS ONE 13(5): e0197295. 2018.
  26. Srivastava, K., Zhu, L., Hudson M., Pan J., Rai S.N. Robust estimation and inference on current status data with applications to phase IV cancer trial. Journal of Modern Applied Statistical Methods, 2018. (In print).
  27. Yu, G., Li Y., Zhu, L., Zhao H., Sun J., and Robison L. L. An Additive-Multiplicative Mean Model for Panel Count Data with Dependent Observation and Drop-out processes. Scandinavian Journal of Statistics, 46 (2) :414-431, 2019.
  28. Li, H., Zhang, H., Zhu, L., Li, N., and Sun, J.. Estimation of the additive hazards model with interval-censored data and missing covariates. The Canadian Journal of Statistics. 2020 (in print)
  29. Tang, Y., Zhu, L., Gu, J.. An improved sample size calculation method for score tests in generalized linear models. Statistics in Biopharmaceutical Research. 2020.
  30. Wu, Q., Zhao, H., Zhu, L., Sun, J., and Alzheimer’s Disease Neuroimaging Initiative. Variable Selection for High-dimensional Partly Linear Additive Cox Model with Application to Alzheimer’s Disease. Statistics in Medicine. 2020.
  31. Hu Q., Zhu, L., Liu Y., Sun J., Srivastava D.K., Leslie R.. Nonparametric Screening and Feature Selection for Ultrahigh-Dimensional Case II Interval-censored Failure Time Data. Biometrical Journal. 2020, 1-17. DOI: 10.1002/bimj.201900154
  32. Zhu, L., Tong, X., Cai, D., Li, Y., Sun, R., Srivastava D.K., Hudson M.M. Maximum Likelihood Estimation for the Proportional Odds Model with Mixed Interval-Censored Failure Time Data. Journal of Applied Statistics. 2020. DOI: 1080/02664763.2020. 1789077
  33. Zhu, L., Choi S., Li Y., Huang X., Sun J., Robison LL. Statistical analysis of clustered mixed recurrent-event data with application to a cancer survivor study. Lifetime Data Analysis. 2020. https://doi.org/10.1007/s10985-020-09500-6
  34. Li, Y., Zhu, L.*, Liu, L., Robison, L.L. Regression Analysis of Mixed Panel-Count Data with Application to Cancer Studies. Statistics in Bioscience. 2020. 1-18. DOI: 10.1007/s12561-020-09291-2
  35. Ge, L., Zhu, L., and Sun J. Regression Analysis of Mixed Panel Count Data with Informative Observation Processes. Statistics in Medicine. (Accepted).

Collaborative Research

  1. Srinivasan A., Seifried S., Zhu, L., Bitar W., Srivastava D.K., Shenep J.L., Bankowski M.J., Flynn P.M. and Hayden R.T.: Methicillin-resistant staphylococcus aureus infections in children and young adults infected with HIV. AIDS Research and Human Retroviruses 25 (12):1219-1224, 2009.
  2. Srinivasan A., Seifried S., Zhu, L., Srivastava D.K., Flynn P.M., Shenep J.L., Bankowski M.J., and Hayden R.T.: Panton-Valentine Leukocidin positive methicillin-resistant Staphylococcus aureus infections in children with cancer. Pediatric Blood and Cancer 53(7):1216-20, 2009.
  3. Srinivasan A., Seifried S., Zhu, L., Srivastava D.K., Flynn P.M., Bankowski M.J., Shenep J.L., and Hayden R.T.: Staphylococcus aureus bacteremia in pediatric patients with cancer. Pediatric Infectious Disease Journal 29(2):172-4, 2010.
  4. Srinivasan A., Seifried S., Zhu, L., Srivastava D.K., Perkins R., Shenep J.L., Bankowski M.J., and Hayden R.T.: Increasing prevalence of nasal and rectal colonization with Methcillin-resistant Staphylococcusaureus in children with cancer. Pediatric Blood and Cancer 55(7):1317-22, 2010.
  5. Krull K.R., Khan R.B., Ness K.K., Ledet D., Zhu, L., Pui C.H., Howard S.C., Srivastava D.K., Sabin N. D., Hudson M.M., and Morris E.B.: Symptoms of Attention-Deficit/Hyperactivity Disorder in Long-Term Survivors of Childhood Leukemia. Pediatric Blood and Cancer 57(7):1191-1196, 2011.
  6. Batson A.K., Lottick N.K., Zhu, L., Bordes V., Srivastava D.K., Zeltzer L.K., Robison L.L., and Krull K.R.: Predictors of independent living status in adult survivors of childhood cancer: A report from the Childhood Cancer Survivor Study. Pediatric Blood and Cancer DOI: 10.1002/pbc.22982 2011.
  7. Cox, C. L., Zhu, L., Hudson, M. M., Steen, B. D., Robison, L. L., and Oeffinger, K. C.. Survivors Intrapersonal Profiles Predict Participation in Medical Surveillance: The Childhood Cancer Survivor Study. Psycho-Oncology 21(5): 469-478, 2011.
  8. Green, D.M, Cox, C.L., Zhu, L., Stovall, M., Nolan, V.G., Ness, K.K., Donaldson, S. S., Oeffinger, K.C., Meacham, L.R., Sklar, C.A., Krull, K.R., Armstrong, G.T., and Robison, L.L.: Antidepressant use and obesity in adult survivors of childhood cancer. A report from the childhood cancer survivor study. Journal of Clinical Oncology 30(3):246-55, 2012.
  9. Cox, C.L., Zhu, L., Finnegan, L., Hudson, M.M., Robison, L.L., and Oeffinger, K.C.: Profiling adult childhood cancer survivors: informing tailored care to modify late effects. Psycho-Oncology 21(5):469-78, 2012.
  10. Krull, K.R., Sabin, N.D., Reddick, W.E., Zhu, L., Armstrong, G.T., Green, D.M., Arevalo, A.R., Krasin, M.J., Srivastava, D.K., Robison, L.L. and Hudson, M.M.: Neurocognitive Function and Central Nervous System Integrity in Adult Survivors of Childhood Hodgkin Lymphoma. Journal of Clinical Oncology 30(29):3618-24, 2012.
  11. Motosue M.M., Zhu L., Srivastava D.K., Stokes D.C., Hudson M.M., McPherson V., Srinivasan S., Krasin M.J., Green D.M., Spunt S.K., and Inaba H.: Pulmonary function after whole lung irradiation in pediatric patients with solid malignancies. Cancer 118(5): 1450-1456, 2012.
  12. Armstrong, G.T., Joshi, V.M., Zhu, L., Srivastava, D., Zhang, N., Ness, K.K., Stokes, D.C., Krasin, M.T., Fowler, J.A., Robison, L.L., Hudson, M.M., and Green, D.M.: Increased Tricuspid Regurgitant Jet Velocity by Doppler Echocardiography in Adult Survivors of Childhood Cancer: A Report From the St Jude Lifetime Cohort Study. Journal of Clinical Oncology 1(6):774-781, 2013.
  13. Brinkman T.M., Zhu, L., Zeltzer L.K., Recklitis C.J., Kimberg C., Muriel A.C., Stovall M., Srivastava D.K., Robison L.L., and Krull K.R.: Longitudinal patterns of psychological distress in adult survivors of childhood cancer. British Journal of Cancer 109, 1373-1381, 2013.
  14. Green D.M., Zhu L., Zhang N., Sklar C.A., Ke R.W., Kutteh W.H., Klosky J.L., Spunt S.S., Metzger M.L., Navid F., Srivastava D.K., Robison L.L., and Hudson M.M.: The utility of plasma concentrations of inhibin B and follicle stimulating hormone for identification of azoospermic survivors of childhood cancer. A report from the St. Jude Lifetime Cohort Study. Journal of Clinical Oncology 31: 1324-1328, 2013.
  15. Denbo, J., Zhu, L., Srivastava, D.K., Stokes, D., Srinivasan, S., Hudson, M.M., Ness, K.K., Robison, L.L., Neel, M., Rao, B., Navid, F., Davidoff, A.M., and Green, D.M.: Long-term Pulmonary Function after Metastasectomy for Childhood Osteosarcoma: A Report from the St. Jude Lifetime Cohort Study. Journal of the American College of Surgeons 219(2):265-71, 2014.
  16. Khan, R., Hudson, M.M., Ledet, D.S., Morris, E.B., Pui, C.H., Howard, S.C., Krull, K. R., Hinds, P.S., Crom, D., Brown, E., Zhu, L., Rai, S., Kumar, S., and Ness, K.K.: Neurologic morbidity and related quality of life in long-term survivors of childhood acute lymphoblastic leukemia. Journal of Cancer Survivorship 8(4):688-96, 2014.
  17. Sadighi, Z.S., Ness, K.K., Hudson, M.M., Morris, B.E., Ledet, D.V., Pui, C.H., Howard, S.C., Krull, K.R., Browne, E., Crom, D., Hinds, P.S., Zhu, L., Srivastava, D. K., and Khan, R.B.: Headache types, related morbidity, and quality of life in survivors of childhood acute lymphoblastic leukemia: a prospective cross sectional study. European Journal of Pediatric Neurology 18(6):722-9, 2014.
  18. Ness, K.K., Kaste, S.C., Zhu, L., Pui, C.H., Jeha, S., Nathan, P.C., Inaba, H., Wasilewski, K., Shah, D., Wells, R.J., Karlage, R.E., Robison, L.L., and Cox, C.L.: Skeletal, neuromuscular and fitness impairments among children with newly diagnosed acute lymphoblastic leukemia Leuk Lymphoma 56(4):1004-11, 2015.
  19. Khan, R.B., Hudson, M.M., Ness, K.K., Zhu, L., Srivastava, D.K., and Krull, K. R.: Association of attention deficit disorder with bedside anti-saccades in survivors of childhood leukemia. Journal of Child Neurology DOI: 10.1177/0883073815583689, 31(2):131-3, 2016.
  20. Brimeyer, C., Adams, L, Zhu, L., Srivastava, D. K., Wise, M., Hudson, M. M., Crabtree, V. M.. Sleep complaints in survivors of pediatric brain tumors. Supportive Care in Cancer, 24(1):23-31, 2015.
  21. Green D. M., Zhu, L., Wang M., Ness K. K., Krasin M. J., Bhakta N. H., McCarville M. B., Srinivasan S., Stokes D. C., Srivastava D., Ojha R., Shelton K., Pui C. H., Armstrong G.T., Mulrooney D. A., Metzger M., Spunt S. L., Navid F., Davido_ A. M., Rao B. N., Robison L. L., Hudson M. M.. Pulmonary Function after Treatment for Childhood Cancer. A Report from the St. Jude Lifetime Cohort Study (SJLIFE). Annals of the American Thoracic Society, 13(9):1575-85, 2016.
  22. Cox C. L., Zhu, L., Ojha R. P., Steen B. D., Ogg S., Robison L. L., Hudson M. M.. Factors supporting cardiomyopathy screening among at-risk adult survivors of pediatric malignancies. Support Care Cancer 25(4):1307-16, 2017.
  23. Cox C. L., Zhu, L., Ojha R. P., Li C., Srivastava D. K., Riley B. B., Hudson M. M., Robison L.L.. The unmet emotional, care/support, and informational needs of adult survivors of pediatric malignancies. Journal of Cancer Survivorship 10(4): 743-758, 2016.
  24. Sutton J. C., Fay R. M., Huynh C. P., Johnson C. D.,Zhu, L., Quock R. L.. Dental Faculty Accuracy When Using Diagnostic Codes: A Pilot Study. Journal of Dental Education 81(5): 554-560, 2017. doi: 10.21815/JDE.016.018
  25. Savarraj P., Parsha K. N., Hergenroeder G., Zhu, L., Bajgur S., Ahn S., Lee K., Chang T., Kim D., Liu Y., Choi H.. Systematic Model of Peripheral Inammation after Subarachnoid Hemorrhage. Neurology. 88(16):1535-1545, 2017.
  26. Lee C. T., Huang Y. W., Zhu, L., Weltman R.. Prevalences of Peri-implantitis and Peri-Implant Mucositis: Systematic Review and Meta-Analysis. Journal of Dentistry 2017. 62:1-12.
  27. Ritzel, R. M., Patel, A. R., Spychala, M., Verma, R., Crapser, J., Koellho_er, E. C., Schrecengost, A., Jellison, E. R., Zhu, L., Venna, V. D., McCullough, L. D.. Multiparity improves outcomes after cerebral ischemia in female mice despite features of increased metabovascular risk. PNAS 2017. 114: 56735682.
  28. Karri J., Cardenas J., Matijevic N., Choi S., Zhu, L., Cotton B., Kitagawa R., Holcomb J., Wade C.. Early Fibrinolysis Associated with Hemorrhagic Progression Following Traumatic Brain Injury. Shock, 48(6):644-650, 2017.
  29. Roy-O’Reilly, M., Zhu, L., Atajada L., So D., Torres G., Aronowski J., McCullough L. D., Edwards N.. Soluble CD163 in Intracerebral Hemorrhage: Biomarker for Perihematomal Edema. Annals of Clinical and Translational Neurology. 4(11): 793800, 2017.
  30. Green D. M., Zhu, L., Wang M., Chemaitilly W., Srivastava D., Kutteh W. H., Ke R. W., Sklar C. A., Pui C. H., Kun L. E., Ribeiro R. C., Robison L. L., Hudson M. M.. Effect of cranial irradiation on sperm concentration of adult survivors of childhood acute lymphoblastic leukemia: a report from the St. Jude Lifetime Cohort Study. Human Reproduction 32(6):1192-1201, 2017.
  31. van der Hoeven, D., van der Hoeven, R., Zhu, L., Busaidy, K., Quock, R. L. Integration of Basic and Clinical Sciences: Faculty Perspectives at a U.S. Dental School. J. Dent. Educ., 2018, 82: 349-355
  32. Chauhan, A., Mamun, A., Spiegel, G., Harris, N., Zhu, L., McCullough L., Splenectomy protects aged mice from injury after experimental stroke. Neurobiology of Aging. 61:102-111, 2018.
  33. Herbert J. P., Venkataraman S. S., Turkmani A. H., Zhu, L., Kerr M. L., Patel R. P., Ugalde I.T., Fletcher S. A., Sandberg D. I., Cox C. S., Kitagawa R. S., Day A. L., Shah M. N.. Pediatric blunt cerebrovascular injury: the McGovern screening score. J Neurosurg Pediatr. 16:1-11. doi:10.3171/2017.12.PEDS17498. 2018.
  34. Stampas A., Korupolu R., Zhu, L., Smith C. Gustafson, K. Safety, Feasibility, and Efficacy of Transcutaneous Tibial Nerve Stimulation in Acute Spinal Cord Injury Neurogenic Bladder: A Randomized Control Pilot Trial. Neuromodulation: Technology at the Neural Interface. DOI:10.1111/ner.12855, 2018.
  35. Shah M. N., Nguyen R. D., Pao L. P., Zhu, L., CreveCoeur T. S., Mitra A., Smyth M. D. The Role of Resting State MRI Temporal Latency in Refractory Pediatric Extra temporal Epilepsy Lateralization. Journal of Magnetic Resonance Imaging. 49(5):1347-1355, 2019.
  36. Garcia-Tarodo S., Funke M., Caballero L.,Zhu, L., Shah M. N., Von Allmen G. K. Magnetoencephalographic Recordings in Infants: A Retrospective Analysis of Seizure-Focus Yield and Postsurgical Outcomes. J Clin Neurophysiol. 2018. doi: 10.1097/ WNP.0000000000000500
  37. Stampas A., Dominick E., Zhu, L.. Evaluation of functional outcomes in traumatic spinal cord injury with rehabilitation-acquired urinary tract infections: A retrospective study. J Spinal Cord Med. 2018. doi: 10.1080/10790268.2018.1452389.
  38. Howe M. D., Zhu, L., Sansing L. H., Gonzales N. R., McCullough L. D., Edwards N. J. Serum markers of blood-brain barrier remodeling and fibrosis as predictors of etiology and clinicoradiologic outcome in intracerebral hemorrhage. Frontiers Neurology 2018. doi: 10.3389/fneur.2018.00746
  39. Howe M. D., Atadja L. A., Furr J. W., Maniskas M. E., Zhu, L., McCullough M. D., Urayama A. Fibronectin induces the perivascular deposition of cerebrospinal uidederived amyloid-b in aging and after stroke. Neurobiology of Aging 72:1-13. 2018.
  40. Savarraj J., McGuire M. F., Parsha K. N., Hergenroeder G. W., Bajgur S. S.,Ahn S., Zhu, L., Moreno E., Chang, T. R., Blackburn, S. Kim, D. H., Dash, P., Choi, H. A. Disruption of thrombo-inflammatory response and activation of a distinct cytokine cluster after subarachnoid hemorrhage. Cytokine. 111:334-341. 2018.
  41. Misra S. M., Adibi S., Melchor M., Zhu, L. Medical and Dental Students Perceptions and Attitudes towards Interprofessional Clinical Education. MedEdPublish, 2018. DOI: https://doi.org/10.15694/mep.2018.0000249.1
  42. Alnoor M. S., Varner H. K., Butler I. J., Zhu L., Numan M. T.. Baroreceptor activity and sensitivity: normal values in children and young adults using the head up tilt test. Pediatr Res. 2019 Feb 6. doi: 10.1038/s41390-019-0327-6. [Epub ahead of print] PubMed PMID: 30728445.
  43. Howe M.D., Furr J. W., Zhu, L., Edwards N. J., McCullough L. D. ,Gonzales N. R. Sex-specific association of matrix metalloproteinases with secondary injury and outcomes after intracerebral hemorrhage Journal of Stroke and Cerebrovascular Diseases. J Stroke Cerebrovasc Dis. 2019, Jun;28(6):1718-1725.
  44. Stampas A, Gustafson K, Korupolu R, Smith C, Zhu L, Li S. Bladder Neuromodulation in Acute Spinal Cord Injury via Transcutaneous Tibial Nerve Stimulation: cystometrogram and autonomic nervous system evidence from a randomized control pilot trial. Front Neurosci. 2019,13:119. doi: 10.3389/fnins. 2019.00119. eCollection 2019.
  45. Soomro J. Zhu L. Savitz S.I. Sarraj A. Predictors of Acute Neurological Worsening after Endovascular Thrombectomy. Interventional Neurology, 2019;8:172179
  46. Misra S. M., Adibi S., Melchor M., Zhu L. Medical and Dental Students Perceptions and Attitudes towards Interprofessional Clinical Education. MedEdPublish, 2018, DOI: https://doi.org/10.15694/mep.2018.0000249.1.
  47. Stampas A., Zhu L., Li S. Heart rate variability in spinal cord injury: Asymptomatic orthostatic hypotension is a confounding variable. Neurosci Lett. 2019; 703:213-218. doi: 10.1016/j.neulet.2019.03.020.
  48. Pao LP, Zhu,  L, Tariq S, Hill CA, Yu B, Kendrick M, Jungman M, Miesner EL, Mundluru SN, Hall SL, Bosques G, Thakur N, Shah MN. “Reducing Opioid Usage: A Pilot Study Comparing Postoperative Selective Dorsal Rhizotomy Protocols.” J of Neurosurg: Pediatr. 1-6, 2019. doi: 10.3171/2019.9.PEDS19398
  49. Toumbs R., Dao T., Zhu, L., McCullough L., Savitz S., Cossey T.C.. Stroke Templates and Trainee Education are Associated With Improved Data Capture in an Academic Hospital. The Journal for Healthcare Quality. 2020, 42(2).
  50. Moruno-Manchon J.F., Lejault P., Wang Y., McCauley B., Honarpisheh P., Morales Scheihing D.A., Singh S., Dang W., Kim N., Urayama A., Zhu, L., Monchaud D., McCullough L.D., Tsvetkov A.S.. Small-molecule G-quadruplex stabilizers reveal a novel pathway of autophagy regulation in neurons. Elife. 2020 Feb 11;9. pii: e52283. doi: 10.7554/eLife.52283.
  51. Ahnstedt H., Patrizz A., Chauhan A., Roy-O’Reilly M., Furr J.W., Spychala M.S., D’Aigle J., Blixt F.W.,Zhu, L., Bravo Alegria J., McCullough L.D.. Sex differences in T cell immune responses, gut permeability and outcome after ischemic stroke in aged mice. Brain Behav Immun. 2020. pii: S0889-1591(19)31459-X. doi: 10.1016/j.bbi.2020.02.001.
  52. Fournier L., Hopping G., Zhu, L., Perez-Pinzon M., Ovbiagele B., McCullough L.D., Sharrief A.Z.. Females are Less Likely Invited Speakers to the International Stroke Conference: Time’s Up to Address Sex Disparity. Stroke. 2020;51:674678.
  53. Hamidi V., Riggs K., Zhu, L., Andre K., Westby C., Coverdale S., Dursteler A., Wang H., Miller C., Taegtmeyer H., Gutierrez A.D.. Acute Exenatide Therapy Attenuates Postprandial Vasodilation in Humans with Prediabetes: A Randomized Controlled Trial. Metabolic Syndrome and Related Disorders. 2020 18(5):225-233.
  54. Savarraj J., Hergenroeder G., Zhu, L., Chang T., Park S., Megjhani M., Vahidy F., Zhao Z., Kitagawa R., Choi H.. Machine Learning Improves the Prediction of Delayed Cerebral Ischemia and Functional Outcomes After Subarachnoid Hemorrhage. Neurology (Accepted)
  55. Lejault, P., Moruno-Manchon, J.F., Vemu, S.M., Honarpisheh, P., Zhu, L. Kim, N., Urayama, A., Monchaud, D., McCullough, L.D., Tsvetkov, A.S. Regulation of autophagy by DNA G-quadruplexes. Autophagy. 2020. DOI: 10.1080/15548627.2020.1769991
  56. Lee, C.T., Sanz Miralles, E., Zhu, L., Glick, J., Heath, A., Stoupel, J.. Predict Bone and Soft Tissue Alterations of Immediate Implant Sites in the Esthetic Zone Using Clinical Parameters. Clinical Implant Dentistry and Related Research. 2020. DOI: 10.1111/cid.12910 vii
  57. Patel T., Vayon D., Ayilavarapu S., Zhu, L., Jensen S., Lee C.T.. A comparison study: Periodontal practice approach of dentists and dental hygienists. Int J Dent Hyg. 2020; 10.1111/idh.12441.doi:10.1111/idh.12441
  58. Lee, J., d’Aigle, J., Atadja, L., Quaicoe, V., Honarpisheh, P., Ganesh, B.P., Hassan, A., Graf, J., Petrosino, J.F., Putluri, N., Zhu, L., Durgan, D.J., Bryan, R.M., McCullough, L.D., Venna, V.R. Gut Microbiota-Derived Short-Chain Fatty Acids Promote Post-Stroke Recovery in Aged Mice. Circulation Research, 2020, https://doi.org/10.1161/CIRCRESAHA.119.316448.
  59. Trimble D.J., Parker S.L., Zhu, L., Cox C.S., Kitagawa R.S., Fletcher S.A., Sandberg D.I., Shah M.N.. Outcomes and prognostic factors of pediatric patients with a Glasgow Coma Score of 3 after blunt head trauma. Childs Nerv Syst. 2020 May 6. doi: 10.1007/s00381-020-04637-z. [Epub ahead of print] PubMed PMID: 32372363.
  60. Vilella L., Lacuey, N., Hampson J.P., Zhu, L., Omidi, S., Ochoa-Urrea, M., Tao, S., Rani, S., Sainju, R.K., Friedman D., Nei, M., Strohl, K., Scott, C., Allen, L., Gehlbach, B.K., Hupp, N.J., Hampson, J.S., Shafiabadi, N., Zhao, X., Reick-Mitrisin, V., Schuele, S., Ogren, J., Harper, R.M., Diehl, B., Bateman, L.M., Devinsky, O., Richerson, G.B., Ryvlin, P., Zhang, G., Lhatoo, S.D.  Peri-ictal brainstem posturing is associated with seizure severity and breathing compromise. Neurology. (Accepted)
  61. Samuel, Reddy S. T., Parsha K.N., Nguyen T., Indupuru H.K., Sharrief A.Z., Zhu L., McCullough L.D., Savitz S.I. Routine Surveillance of Pelvic and Lower Extremity Deep Vein Thrombosis in Stroke Patients with Patent Foramen Ovale. The Journal of Thrombosis and Thrombolysis. 2020. (Accepted)
  62. Zha A., Rosero A., Malazarte R., Bozorgui S., Ankrom C., Zhu L., Joesph M., Trevino A., Cossey T., Savitz S., Wu T.C., Jagolino-Cole, A. Thrombolytic refusal over telestroke. Neurology: Clinical Practice. (Accepted)
  63. Pérez, C. A., Salehbeiki, A., Zhu, L., Wolinsky, J.S., Lincoln, J.A. Assessment of racial/ethnic disparities in volumetric MRI correlates of clinical disability in multiple sclerosis: a preliminary study. Journal of Neuroimaging. (Accepted)
  64. Lejault P., Moruno-Manchon J.F., Vemu, S.M., Honarpisheh P., Zhu L., Kim N., Urayama A., Monchaud D., McCullough L.D., Tsvetkov A. S. Regulation of autophagy by DNA G-quadruplexes, Autophagy 2020, DOI: 1080/15548627.2020.1769991
  65. Honarpisheh P., Blixt F.W., Conesa M.P., Won W., Aigle J., Munshi Y., Hudobenkob J., Furr J.W., Mobley A., Lee J., Brannick K.E., Zhu L., Hazen A.L., Bryan R.M., McCullough L.D., Ganesha, B.P., Peripherally-sourced myeloid antigen presenting cells increase with advanced aging. Brain, Behavior, and Immunity. 2020.
  66. dfdf Post-stroke social isolation reduces cell proliferation in the dentate gyrus and alters miRNA profiles in the aged female mice brain. International Journal of Molecular Sciences. 2020. 22(1): 99. doi: 10.3390/ijms22010099.
  67. Green, D., Wang, M., Krasin, M., Srivastava, D.K., Onder, S., Jay, D., Ness, K., Greene, W., Lanctot, J., Shelton, K., Zhu, L., Mulrooney, D., Ehrhardt, M., Davidoff, A., Robison, L., Hudson, M.. Kidney function after treatment for childhood cancer. A report from the St. Jude Lifetime Cohort Study. Journal of the American Society of Nephrology, 2021 (Accepted)
  68. Nguyen, R.D., Kennady, E.H., Smyth, M.D., Zhu, L., Pao, L.P., Swisher, S., Rosas, A., Mitra, A., Patel, R.P., Lankford, J., Allmen, G.V., Watkins, M.W., Funke, M.E., Shah, M.N. Convolutional Neural Networks for Pediatric Refractory Epilepsy Classification Using Resting-State fMRI. World Neurosurgery, 2021 (Accepted)