Zhaohua Lu, PhD
Zhaohua Lu, PhD

Zhaohua Lu, PhD

Assistant Member, St. Jude Faculty

Departments

Education

PhD – The Chinese University of Hong Kong

Research Interests

  • Statistical analysis of neuroimaging and genetic data
  • Modeling intensive longitudinal and functional data
  • Bayesian latent variable modeling

Selected Publications

Lu ZH, Zhu HT, Knickmeyer RC, Sullivan PF, Williams SN, Zou F. Multiple SNP-sets analysis for genome-wide association studies through Bayesian latent variable selection. Genetic Epidemiology 39(8):664-677, 2015. doi:10.1002/gepi.21932.

Huang M, Nichols T, Huang C, Yang Y, Lu ZH, Knickmeyer RC, Feng Q, Zhu HT, for the Alzheimer's Disease Neuroimaging Initiative. FVGWAS: Fast voxelwise genome wide association analysis of large-scale imaging genetic data. NeuroImage 118:613-627, 2015. doi:10.1016/j.neuroimage.2015.05.043.

Lu ZH, Chow SM, Sherwood A, Zhu HT. Bayesian analysis of ambulatory blood pressure dynamics with application to irregularly spaced sparse data. Annals of Applied Statistics 9(3):1601-1620, 2015. doi:10.1214/15-AOAS846.

Calderón-Garcidueñas L, Mora-Tiscareño A, Franco-Lira M, Zhu HT, Lu ZH, Solorio E, Torres-Jardón R, D'Angiulli A. Decreases in short term memory, IQ, and altered brain metabolic ratios in urban apolipoprotein ε4 children exposed to air pollution. Journal of Alzheimer's disease 45(3): 757-770, 2015. doi:10.3233/JAD-142685.

Zhu HT, Zakaria K, Lu ZH, Ibrahim JG. Bayesian generalized low rank regression models for neuroimaging phenotypes and genetic markers. Journal of the American Statistical Association 109(507):977-990, 2014. doi:10.1080/01621459.2014.923775.

Song XY, Lu ZH, Feng XN. Latent variable models with nonparametric interaction effects of latent variables. Statistics in Medicine 33(10):1723-1737, 2014. doi:10.1002/sim.6065.

Hyun JW, Li Y,Gilmore JH, Lu ZH, Styner M, Zhu HT. SGPP: spatial Gaussian predictive process models for neuroimaging data. NeuroImage 89:70-80, 2014. doi:10.1016/j.neuroimage.2013.11.018.

Lu ZH, Song XY. Finite mixture varying coe_cient models for analyzing longitudinal heterogeneous data. Statistics in Medicine 31(6):544-560, 2012. doi:10.1002/sim.4420.

Song XY, Lu ZH. Semiparametric transformation models with Bayesian P-splines. Statistics and Computing 22(5):1085-1098, 2012. doi:10.1007/s11222-011-9280-x.

Song XY, Lu ZH. Response to "Comments on 'Bayesian variable selection for disease classification using gene expression data'". Bioinformatics 27(15):2169-2170, 2011. doi:10.1093/bioinformatics/btr334.

Song XY, Lu ZH. Semiparametric latent variable models with Bayesian P-splines. Journal of Computational and Graphical Statistics 19(3):590-608, 2010. doi:10.1198/jcgs.2010.09094.

Last update: June 2016