| Decreases in short term memory, IQ, and altered brain metabolic ratios in urban apolipoprotein ε4 children exposed to air pollution L Calderón-Garcidueñas, A Mora-Tiscareño, M Franco-Lira, H Zhu, Z Lu, ... Journal of Alzheimer's Disease 45 (3), 757-770, 2015 | 105 | 2015 |
| Structural and maturational covariance in early childhood brain development X Geng, G Li, Z Lu, W Gao, L Wang, D Shen, H Zhu, JH Gilmore Cerebral Cortex 27 (3), 1795-1807, 2017 | 99 | 2017 |
| Impact of demographic and obstetric factors on infant brain volumes: a population neuroscience study RC Knickmeyer, K Xia, Z Lu, M Ahn, SC Jha, F Zou, H Zhu, M Styner, ... Cerebral cortex 27 (12), 5616-5625, 2017 | 87 | 2017 |
| Bayesian generalized low rank regression models for neuroimaging phenotypes and genetic markers H Zhu, Z Khondker, Z Lu, JG Ibrahim Journal of the American Statistical Association 109 (507), 977-990, 2014 | 75 | 2014 |
| Bayesian factor analysis as a variable-selection problem: Alternative priors and consequences ZH Lu, SM Chow, E Loken Multivariate behavioral research 51 (4), 519-539, 2016 | 73 | 2016 |
| A Bayesian modeling approach for generalized semiparametric structural equation models XY Song, ZH Lu, JH Cai, EHS Ip Psychometrika 78, 624-647, 2013 | 57 | 2013 |
| Semiparametric latent variable models with Bayesian P-splines XY Song, ZH Lu Journal of Computational and Graphical Statistics 19 (3), 590-608, 2010 | 55 | 2010 |
| FVGWAS: Fast voxelwise genome wide association analysis of large-scale imaging genetic data M Huang, T Nichols, C Huang, Y Yu, Z Lu, RC Knickmeyer, Q Feng, H Zhu, ... Neuroimage 118, 613-627, 2015 | 54 | 2015 |
| Fitting nonlinear ordinary differential equation models with random effects and unknown initial conditions using the stochastic approximation expectation–maximization (SAEM … SM Chow, Z Lu, A Sherwood, H Zhu Psychometrika 81, 102-134, 2016 | 48 | 2016 |
| A comparison of Bayesian and frequentist model selection methods for factor analysis models. ZH Lu, SM Chow, E Loken Psychological Methods 22 (2), 361, 2017 | 45 | 2017 |
| Bayesian longitudinal low-rank regression models for imaging genetic data from longitudinal studies ZH Lu, Z Khondker, JG Ibrahim, Y Wang, H Zhu, ... NeuroImage 149, 305-322, 2017 | 30 | 2017 |
| Semiparametric transformation models with Bayesian P-splines XY Song, ZH Lu Statistics and Computing 22, 1085-1098, 2012 | 29 | 2012 |
| SGPP: spatial Gaussian predictive process models for neuroimaging data JW Hyun, Y Li, JH Gilmore, Z Lu, M Styner, H Zhu NeuroImage 89, 70-80, 2014 | 27 | 2014 |
| A Bayesian approach for analyzing longitudinal structural equation models XY Song, ZH Lu, YI Hser, SY Lee Structural Equation Modeling 18 (2), 183-194, 2011 | 25 | 2011 |
| Multiple SNP Set Analysis for Genome‐Wide Association Studies Through Bayesian Latent Variable Selection ZH Lu, H Zhu, RC Knickmeyer, PF Sullivan, SN Williams, F Zou, ... Genetic epidemiology 39 (8), 664-677, 2015 | 23 | 2015 |
| Bayesian analysis of ambulatory blood pressure dynamics with application to irregularly spaced sparse data ZH Lu, SM Chow, A Sherwood, H Zhu The annals of applied statistics 9 (3), 1601, 2015 | 23 | 2015 |
| Finite mixture varying coefficient models for analyzing longitudinal heterogenous data Z Lu, X Song Statistics in medicine 31 (6), 544-560, 2012 | 22 | 2012 |
| Latent variable models with nonparametric interaction effects of latent variables X Song, Z Lu, X Feng Statistics in medicine 33 (10), 1723-1737, 2014 | 17 | 2014 |
| Transformation structural equation models with highly nonnormal and incomplete data P Liu, J Chen, Z Lu, X Song Structural Equation Modeling: A Multidisciplinary Journal 22 (3), 401-415, 2015 | 15 | 2015 |
| Structured genome-wide association studies with Bayesian hierarchical variable selection Y Zhao, H Zhu, Z Lu, RC Knickmeyer, F Zou Genetics 212 (2), 397-415, 2019 | 13 | 2019 |
Hongtu ZhuProfessor of Biostatistics, The University of North Carolina at Chapel Hill在 email.unc.edu 的电子邮件经过验证
