Zhao-Hua Lu
Title
Cited by
Cited by
Year
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-Tiscareno, M Franco-Lira, H Zhu, Z Lu, ...
Journal of Alzheimer's Disease 45 (3), 757-770, 2015
682015
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
482014
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
452017
Semiparametric latent variable models with Bayesian P-splines
XY Song, ZH Lu
Journal of Computational and Graphical Statistics 19 (3), 590-608, 2010
382010
A Bayesian modeling approach for generalized semiparametric structural equation models
XY Song, ZH Lu, JH Cai, EHS Ip
Psychometrika 78 (4), 624-647, 2013
372013
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
332015
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
322016
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
302017
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 (1), 102-134, 2016
232016
Semiparametric transformation models with Bayesian P-splines
XY Song, ZH Lu
Statistics and Computing 22 (5), 1085-1098, 2012
202012
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
192011
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
182017
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
182014
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
152015
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
132015
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
122017
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
122015
Finite mixture varying coefficient models for analyzing longitudinal heterogenous data
Z Lu, X Song
Statistics in medicine 31 (6), 544-560, 2012
122012
Latent variable models with nonparametric interaction effects of latent variables
X Song, Z Lu, X Feng
Statistics in medicine 33 (10), 1723-1737, 2014
102014
A Bayesian semiparametric dynamic two-level structural equation model for analyzing non-normal longitudinal data
XY Song, F Chen, ZH Lu
Journal of Multivariate Analysis 121, 87-108, 2013
52013
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Articles 1–20