Yulan Liang, PhD

Associate Professor, FCH
Address: 525A
Phone Number: 410-706-4812
Fax Number: 410-706-0344
liang@umaryland.edu

Education

  • PhD, Biostatistics
  • MS, Applied Statistics

Research

  • NIH/NIDDK: U01 APOLLO Center: APOL1 Long term Kidney Transplantation Outcomes Research Network. PI: Jonathan Bromberg. Biostatistician, 2017-2022 
  • NIH/NINR: P30 UMB Center for Pain Management, PI: Susan G. Dorsey. $2,400,000, Director of Biostatistcial Core, 2009-2014 
  • NSF: Advanced Bayesian Approaches for Heterogeneous Temporal Genomic Data. $144,999, PI, 2006-2009  
  • NIH: P20: Computational Approaches to Disease Causes and Treatment. PI: Aidong Zhang. $1,177,500, Co-I, 2003-2008 
  • NIH: R01:  Periodontal Disease and recurrent CHD Events in MI patients. PI: Maurizio Trevisan. $3,014,206, Co-I 2002-2007  
  • NIH: (BCBC) Computational and Statistical Issues of SNPs/Haplotypes Data Analysis Related to Complex Diseases, $20,000, PI: 2005-2006  
  • NIH: (BCBC) Bayesian Meta-Analysis of Heterogeneous Genomic Data through Hybrid Systems. $30,000, PI, 2004-2005 
  • Alzheimer's Association: A Function Focused Nursing Intervention for Residents with Dementia, PI: Beth Galik. $192,000. Biostatistician: 2009-2012 
  • Robert Wood Johnson Foundation: Increasing Substance Abuse Screening, Brief Intervention, Referral or Treatment (SBIRT) in Acute Care Hospitals. PI: Robin Newhouse, $300,000. Biostatistician, 2011-2013 
  • Robert Wood Johnson Foundation: Examining the Impact of Nursing Structures and Processes on Medication Errors. PI: Linda Flynn, Dong  Suh, $300,000. Statistician, 2010-2012 
  • Robert Wood Johnson Foundation: Effects of Practice Environment on Nursing Home outcomes. PI: Linda Flynn, $300,000, Statistician, 2008-2009 
  • Robert Wood Johnson Foundation: Interdisciplinary nursing quality research initiative: Rural Hospital Quality Collaborative on Evidence-Based Nursing, PI: Robin, Newhouse, $300,000, Statistician, 2009-2010 
  • Maryland Higher Education Commission (MHEC), Expanding Clinical Capacity through Master’s Preparation of Staff Nurses. PI: Mills, Mary Etta, $3,120,506. Co-I 2015-2017     
  • American Nurses Credentialing Center, American Nurses Association: Nursing Interventions to Improve Heart Failure Outcomes. PI: Robin Newhouse, $800,000. Biostatistician, 2010-2012  
  • National Council of State Boards of Nursing: Nursing Home Outcomes: Contextual Factors and Regulatory Oversight of Care Providers. PI: Alison Trinkoff, Statistician, $247,588. 2011-2012  
  • National Council of State Boards of Nursing: Linking Nursing Work Environments and Patient Outcomes, PI: Alison Trinkoff, $291,000. Statistician, 2009-2010 
  • Navy and Air Force Nurses, Factors Associated with Retention of Army, PI, George Zangaro, $693,000. Statistician, 2009-2010  

Recent Publications

  • Liang, Y., Kelemen, A. (2017). Dynamic Modeling and Network Approaches for Omics Time Course Data: Overview of Computational Approaches and Applications, Brief Bioinformatics 2017 bbx036. doi: 10.1093/bib/bbx036 
  • Liang, Y., Kelemen, A., (2017) Shared Polymorphisms and Modifiable Behavior Factors for Myocardial Infarction and High Cholesterol in a Retrospective Population Study, Journal of Medicine, 96(37): e7683. doi: 10.1097/MD.0000000000007683. 
  • Liang, Y., Kelemen, A., (2017). Computational Dynamic Approaches for Temporal Omics Data with Applications to System Medicine. BioData Mining 10:20 DOI: 10.1186/s13040-017-0140-x 
  • Liang, Y., (2017). Comparisons of Modeling Approaches for Evaluating the Longitudinal Association in a Clustered Healthcare Intervention Study. J Biom Biostat 8: 340. doi:10.4172/2155-6180.1000340 
  • Estes, S. L., Kelemen, A., Liang, Y., Constantine, D. R. (2016). Electronic Health Record Vendors in Reducing Hospital Readmission Rates: Promoting Interoperability. Informatics Nursing 1(2): 6-14. 
  • Liang, Y., Kelemen, A. (2016). Bayesian State Space Models for Dynamic Genetic Network Construction Across Multiple Tissues. Statistical Applications in Genetics and Molecular Biology 15(4): 273-90. doi: 10.1515/sagmb-2014-0055. 
  • Liang, Y., Kelemen, A. (2016). Big Data Science and its Applications in Healthcare and Medical Research: Challenges and Opportunities, Austin Biom and Biostat 3(1): 1030 
  • Newhouse, R.P, Dennision, C., Morlock, M., Frick, K., Pronovost, P., Liang, Y., (2013). A Phased Cluster-randomized Trial of Rural Hospitals Testing a Quality Collaborative to Improve Heart Failure Care: Organizational Context Matters. Medical Care. 51(5): 396-403. doi: 10.1097/MLR.0b013e318286e32e. 
  • Kelemen, A., Liang, Y., (2012). Multi-Center Correction Functions for Magnetization Transfer Ratios of MRI Scans. Journal of Health and Medical Informatics, S3. doi:10.4172/2157-7420.S3-002 
  • Flynn, L., Liang, Y., Dickson, G., Xie, M., Boyer, C., Suh.D., (2012) Nurses’ Practice Environments, Error Interception Practices, and Inpatient Medication Errors. Journal of Nursing Scholarship, 44(2): 180-6. doi: 10.1111/j.1547-5069.2012.01443. 
  • Liang, Y., Kelemen, A., (2011) Sequential Support Vector Regression with Entropy for SNP selection and Disease Classification. Journal of Statistical Analysis and Data Mining. 4(3): 301-312. DOI: 10.1002/sam.10110. 
  • Newhouse, R.P, Dennision, C., Liang, Y., (2011) Psychometric Testing of the Smoking Cessation Counseling (SCC) Scale. Journal of Nursing Scholarship. 43(4): 405-11. 
  • Trinkoff, A., Johantgen, M., Storr, C., Gurses, A., Liang, Y., Han, K., (2011) Nurses Work Schedule Characteristics, Staffing and Patient Mortality. Nursing Research. 60(1): 1-8. 
  • Trinkoff, A., Johantgen, M., Storr, C., Gurses, A., Liang, Y., Han, K., (2011) Are Nursing Job Demands and Work Schedule Associated With Hospital Quality Indicators? Journal of Nursing Regulation. 2(1): 10-16. 
  • Flynn, L., Liang, Y., Dickson, G., Aiken, L., (2010). Effects of the Nursing Practice Environment on Quality Outcomes in Nursing Homes. Journal of American Geriatric Society. 58(12), 2401-2406. 
  • Trinkoff, A., Johantgen, M., Storr, C., Han, K., Liang,Y., Gurses, A. Hopkinson, S. (2010) Nurses in Magnet hospitals report few differences in working conditions, practice environment and patient safety compared to nurses in non-Magnet hospitals, Journal of Nursing Administration. 40(7/8): 309-315. 
  • Newhouse, R.P, Dennision, C., Liang, Y., Morlock, L., Frick, K., Pronovost, P. (2010) Evidence-based Smoking Cessation Counseling by Registered Nurses: Description and Predictors in Rural Hospitals. The American Nurse Today. 
  • Liang, Y., Kelemen, A., (2009) Bayesian Finite Markov Mixture Models for Temporal Multi-Tissue Polygenic Patterns, Biometrical Journal 51(1): 56-69 
  • Tayo, B. O., DiCioccio, R. A., Liang, Y., Trevisan, M., Cooper, R.S., et al. (2009) Complex Segregation Analysis of Pedigrees from the Gilda Radner Familial Ovarian Cancer Registry Reveals Evidence for Mendelian Dominant Inheritance. PLoS ONE 4(6): e5939.  
  • Tayo, B., Liang, Y., Kelemen, A., Miller, A., Trevisan, M., Cooper,R., (2009) Use of supplementary phenotype to identify additional rheumatoid arthritis loci in a linkage analysis of 342 UK affected sibling pair families, BMC Medical Genetics,10(142).  doi:10.1186/1471-2350-10-142 
  • Kelemen, A., Vasilakos, A., Liang, Y., (2009). Computational Intelligence in Bioinformatics: SNP/haplotype data in Genetic Association Study for Common Diseases. IEEE Transactions on Information Technology in Biomedicine 13(5): 841-7. 
  • Liang, Y., (2009). “Book Review: Introduction to Machine Learning and Bioinformatics. Chapman & Hall/CRC”, Biometrics 65(3), 331. 
  • Kelemen, A., Vasilakos, A., Liang, Y. (2009). Computational Intelligence for Genetic Association Study in Complex Disease: Review of Theory and Applications. International Journal of Computational Intelligence in Bioinformatics and Systems Biology 1(1): 20-36 
  • Liang, Y., Kelemen, A., (2009) Time Lagged Recurrent Neural Network for Temporal Gene Expression Classification. International Journal of Computational Intelligence in Bioinformatics and Systems Biology 1(1): 91-102. 
  • Liang, Y., Kelemen, A., (2008). Statistical Advances and Challenges for Analyzing Correlated High Dimensional SNP Data in Genomic Study for Complex Diseases. Statistics Surveys, Vol 2, 43-60. 
  • Kelemen, A., Dwyer, M. G., Hussein, S., Stosic, M., Liang. Y., Zivadinov , R., (2008) Can magnetization transfer data front different magnetic resonance imaging scanner/sequence/pulse types be standardized? an application of correction factor function method.  Multiple sclerosis Journal, 14, S111-S111 
  • Liang, Y., Kelemen, A., (2008) Bayesian Models and Meta Analysis for Multiple Tissue Polygenic Gene Expression Data Following Corticosteriod Administration” BMC Bioinformatics, 9:354. 
  • Kelemen, A., Abraham, A., Liang, Y. (2008) Computational Intelligence in Medical Informatics in the Series in Studies in Computational Intelligence, Springer-Verlag, Germany, Approx. 390 p., ISBN: 978-3-540-75766-5. 
  • Liang, Y., Kelemen, A., Tayo, B. O., (2007) Model Based or Algorithms Based? Gene Expression Based Statistical Methods to Find Evidence of Diabetes. Journal of Statistical Methods for Medical Research, 16(2): 139-153. 
  • Liang, Y., Kelemen, A., (2007) Bayesian State Space Models for Inferring and Predicting Temporal Gene Expression Profiles. Biometrical Journal. 49 (6):  801-814. 
  • Tayo, B., Liang, Y., Zhu, X., Trevisan, M., Dorn, J., Luke, A., Cooper, R. (2007) Weighted-logistic method for correcting confounding effect of population stratification and testing ancestral population specific effect sizes in genetic association studies in admixed populations. Circulation, 115 (8). 
  • Lacoviello, L., Tayo, B., Castelnuovo, A. D. Liang, Y., Dorn, J., Nowak, N., Trevisan, M. (2007) Interleukin genes, tag-SNP haplotypes, and risk of myocardial infarction: A population-based case-control study. Circulation, 115 (8) 
  • Tayo, B., Zhu, X., Liang, Y., Trevisan, M., Luke, A., Cooper, R. (2007) Method for estimating and testing ancestral population specific effects in genetic association studies in admixed populations. Genetic Epidemiology 31 (5). 
  • Liang, Y., Kelemen, A., (2006) Associating Phenotypes with Molecular Events: a Review of Statistical Advances and Challenges Underpinning Microarray Analyses. Journal of Functional and Integrative Genomics, 6, 1-13. 
  • Willsky, G.R., Chi, L., Liang, Y., Gaile, D. P., Crans,D.C., (2006) Diabetes Altered Gene Expression in Rat Skeletal Muscle Corrected by Oral Administration of Vanadyl Sulfate. Journal of Physiological Genomics, 26(3): 192 – 201. 
  • Kelemen, A., Liang, Y. (2006) Pattern Differentiations and Formulations for Heterogeneous Genomic Data through Hybrid Approaches, Advanced Data Mining Technologies in Bioinformatics, Idea Group Press, 136-154 
  • Liang, Y., Tayo, B., Cai, X., Kelemen, A., (2005) Differential and Trajectory Methods for Time Course Gene Expression Data. Journal of Bioinformatics, 20(13), 3009-3016. 
  • Liang, Y., Kelemen, A., (2005) Temporal Gene Expression Classification with Regularised Neural Network. International Journal of Bioinformatics Research and Applications, 1(4), 399-413. 
  • Tayo, B. O., Liang, Y., Stranges, S., Trevisan, M., (2005) Genome Wide Linkage Analysis of Age Onset of Alcohol Dependency: A Comparison Between Single Nucleotide Polymorphisms and Microsatellites. BMC Genetics, 6 (Suppl 1): S12. 
  • Kelemen, A., Franklin, S., Liang, Y. (2005) Constraint Satisfaction in Conscious Software Agents-A Practical Application, Journal of Applied Artificial Intelligence. Vol.19, 91-514 
  • Tayo, B., Liang, Y., Trevisan, M., (2005) Multipoint linkage analysis using combined panel of SNPs and microsatellites. Genetic Epidemiology 29 (3), 279-280  
  • Kelemen, A., Liang, Y., Franklin, S. (2005) Learning High Quality Decisions with Neural Networks in “Conscious” Software Agents, Journal of World Scientific and Engineering Academy and Society, 9(4), 1482-1492  
  • Kelemen, A., Liang, Y. (2005) Optimizing Decision Making with Neural Network in Software Agents, WSEAS Transactions on Simulation Modeling and Optimization, 256-261 
  • Liang, Y., Kelemen, A., (2004) "Hierarchical Bayesian Neural Network for Gene Expression Temporal Patterns", Journal of Statistical Applications in Genetics and Molecular Biology: Vol. 3: No. 1, http://www.bepress.com/sagmb/vol3/iss1
  • Tayo, B., Liang, Y., Zhu, X., Luke, A., Wu, X., Adeyemo, A., Cooper, R.S., (2004) Segregation Analysis of Resting Metabolic Rate in a Nigerian Population. Genetic Epidemiology, 27(298), 258-316.  
  • Liang, Y., (2003) Gene expression temporal patterns classification with hierarchical bayesian neural networks and time lagged recurrent neural networks. Association for Computing Machinery (ACM). The University of Memphis. 1-126
  • Liang, Y., Lin, K., and Kelemen, A. (2002) Adaptive Generalized Estimation Equation with Bayes Classifier for the Job Assignment Problem, Advances in Knowledge Discovery and Data Mining (M. Chen, P. S. Yu, B. Liu, Eds.) in the Lecture Notes In Artificial Intelligence Series, Springer-Verlag, Heidelberg, Germany, 438-450  
  • Kelemen, A., Liang, Y., Kozma, R., and Franklin, S. (2002) Optimizing Intelligent Agent's Constraint Satisfaction with Neural Networks, in: Innovations in Intelligent Systems (A. Abraham, L. Jain, J. Kacprzyk, Eds.), in the Series Studies in Fuzziness and Soft Computing, Springer-Verlag, Heidelberg, Germany, 255-272  
  • Kelemen, A., Liang, Y., and Franklin, S. (2002) A Comparative Study of Different Machine Learning Approaches for Decision Making, in: Recent Advances in Simulation, Computational Methods and Soft Computing (N. E. Mastorakis, ed.) in the Electrical and Computer Engineering Series, 181-186 

Primary Teaching Areas

Biostatistics; Science and Research Methods; Multivariate Statistics; Multivariable Modeling Approaches for Health Researches; Longitudinal Design for Health Sciences; Special Topics in Nursing Research; Special Topics of Statistics; Categorical Data Analysis; Independent Study

Academic & Professional Activities

Scientific  Review Committee
NIH Emerging Technologies and Training in Neurosciences;  NIH challenge grants Review Panel; NIH/NIA and NIH/NIEHS Special Emphasis Panel & Study Section; Review Committee NSF's IIS 07-577, NSF III-Sm-LB Health/Med; Review Committee NSF III-Sm-LB Health/Med; Review Member of Science Center programs of the U.S. Department of State; UMB-UMCP Seed Grants

Professional Memberships
American Statistical Association; American Society of Human Genetics; American Public Health Association; International Biometric Society; International Bayesian Society; Joint Statistical Computing and Statistical Graphics

Reviewer
Statistics in Medicine; Biometrics; Statistical Application in Genetics and Computational Biology; PLOS One; Briefs in Bioinformatics; Medicine journal; Statistical Inference and Planning; Bioinformatics; BMC Genetics; BMC Bioinformatics; Proteomics; Integrative and Functional Genomics; Computational Statistics and Data Analysis; Journal of Nursing Research; the Western Journal of Nursing Research; Journal of Biomedicine and Biotechnology; IEEE Transactions on Neural Networks; IEEE/ACM Transactions on Computational Biology and Bioinformatics