| 2024 | Xu, Wenchao and Zhang, Xinyu and Liang, Hua: Linearized maximum rank correlation estimation when
covariates are functional. In: Journal of Multivariate Analysis, 202, 2024, Paper No. 105301, 19 |
|---|
| 2024 | Li, Xinmin and Liang, Haozhe and H\"ardle, Wolfgang and Liang, Hua: Model checking for generalized partially linear models. In: TEST, 33, 2024, 361--378 |
|---|
| 2024 | Wang, Jun and He, Jiabei and Liang, Hua and Li, Xinmin: Optimal model average prediction in orthogonal kriging
models. In: Journal of Systems Science \& Complexity, 37, 2024, 1080--1099 |
|---|
| 2023 | Zhang, Dixin and Wang, Yulin and Liang, Hua: A novel estimation method in generalized single index
models. In: Journal of Business \& Economic Statistics, 41, 2023, 399--413 |
|---|
| 2023 | Zhu, Rong and Wang, Haiying and Zhang, Xinyu and Liang,
Hua: A scalable frequentist model averaging method. In: Journal of Business \& Economic Statistics, 41, 2023, 1228--1237 |
|---|
| 2023 | Zhu, Rong and Liang, Hua and Ruppert, David: Ensemble subset regression (ensure): efficient
high-dimensional prediction. In: Statistica Sinica, 33, 2023, 1411--1434 |
|---|
| 2023 | Li, Xinmin and Chen, Feifei and Liang, Hua and Ruppert, David: Model checking for logistic models when the number of
parameters tends to infinity. In: Journal of Computational and Graphical Statistics, 32, 2023, 241--251 |
|---|
| 2023 | Li, Xinmin and Liang, Haozhe and H\"ardle, Wolfgang and
Liang, Hua: Use generalized linear models or generalized partially linear models?. In: Statistics and Computing, 33, 2023, Paper No. 101, 10 |
|---|
| 2022 | Wang, Juan and Li, Xinmin and Liang, Hua: A new exact {$p$}-value approach for testing variance
homogeneity. In: Statistical Theory and Related Fields, 6, 2022, 81--86 |
|---|
| 2022 | You, Mengying and Lin, Huazhen and Liang, Hua: Dynamically integrated regression model for online auction data. In: Science China Mathematics, 65, 2022, 1531--1552 |
|---|
| 2022 | Sun, Zhihua and Chen, Feifei and Liang, Hua and Ruppert,
David: Efficient diagnosis for parametric regression models with distortion measurement errors incorporating dimension-reduction. In: Statistica Sinica, 32, 2022, 1661--1681 |
|---|
| 2022 | Zhang, Qi and Xu, Jing and Zhao, Jianxin and Liang, Hua
and Li, Xinmin: Simultaneous confidence intervals for ratios of means of
zero-inflated log-normal populations. In: Journal of Statistical Computation and Simulation, 92, 2022, 1113--1132 |
|---|
| 2022 | Xu, Wenchao and Lin, Hongmei and Zhang, Riquan and Liang,
Hua: Two-sample functional linear models with functional
responses. In: Journal of Statistical Planning and Inference, 218, 2022, 85--105 |
|---|
| 2021 | Wu, Shunyao and Li, Xinmin and Xia, Yu and Liang, Hua: A novel model-checking approach for dose-response
relationships. In: Statistical Methods in Medical Research, 30, 2021, 2119--2129 |
|---|
| 2021 | Sun, Zhihua and Chen, Feifei and Liang, Hua and Ruppert,
David: A projection-based consistent test incorporating
dimension-reduction in partially linear models. In: Statistica Sinica, 31, 2021, 1489--1508 |
|---|
| 2021 | Zhang, Qi and Chen, Feifei and Wu, Shunyao and Liang, Hua: A simple yet powerful test for assessing goodness-of-fit of high-dimensional linear models. In: Statistics in Medicine, 40, 2021, 3153-3166 |
|---|
| 2021 | Wang, Haiying and Zhang, Dixin and Liang, Hua and Ruppert,
David: Iterative {L}ikelihood: {A} {U}nified {I}nference {T}ool. In: Journal of Computational and Graphical Statistics, 30, 2021, 920--933 |
|---|
| 2020 | Huang, Hailin and Shangguan, Jizi and Li, Yuanzhang and
Liang, Hua: Bi-level variable selection in high dimensional {T}obit
models. In: Statistics and its Interface, 13, 2020, 151-156 |
|---|
| 2020 | Xu, Wenchao and Ding, Hui and Zhang, Riquan and Liang,
Hua: Estimation and inference in partially functional linear
regression with multiple functional covariates. In: Journal of Statistical Planning and Inference, 209, 2020, 44--61 |
|---|
| 2020 | Huang, Hailin and Li, Yuanzhang and Liang, Hua and Tang,
Yanlin: Estimation of single-index models with fixed censored
responses. In: Statistica Sinica, 30, 2020, 829--843 |
|---|
| 2020 | Huang, Hailin and Shangguan, Jizi and Li, Xinmin and Liang,
Hua: High-dimensional single-index models with censored responses. In: Statistics in Medicine, 39, 2020, 2743--2754 |
|---|
| 2020 | Zhang, X. and Zou, G. and Liang, H. and Carroll, R. J.: Parsimonious model averaging with a diverging number of parameters. In: Journal of the American Statistical Association, 115, 2020, 972-984 |
|---|
| 2020 | Sun, Jinhui and Du, Pang and Miao, Hongyu and Liang, Hua: Robust feature screening procedures for single and mixed
types of data. In: Journal of Statistical Computation and Simulation, 90, 2020, 1173--1193 |
|---|
| 2020 | Ruan, Peifeng and Wang, Shuang and Liang, Hua: mir{PLS}: a partial linear structure identifier method for cancer subtyping using
{MicroRNAs}. In: Bioinformatics, 36, 2020, 4902-4909 |
|---|
| 2019 | Mitra, Priyam and Lian, Heng and Mitra, Ritwik and Liang,
Hua and Xie, Min Ge: A general framework for frequentist model averaging. In: Science China. Mathematics, 62, 2019, 205--226 |
|---|
| 2019 | Wang, Binhuan and Fang, Yixin and Lian, Heng and Liang,
Hua: Additive partially linear models for massive heterogeneous
data. In: Electronic Journal of Statistics, 13, 2019, 391--431 |
|---|
| 2019 | Huang, Hailin and Shangguan, Jizi and Ruan, Peifeng and
Liang, Hua: Bi-level feature selection in high dimensional {AFT}
models with applications to a genomic study. In: Statistical Applications in Genetics and Molecular
Biology, 18, 2019, 20190016, 11 |
|---|
| 2019 | Huang, Hailin and Li, Yuanzhang and Liang, Hua and Wu, Colin O: Decomposition feature selection with applications in detecting correlated biomarkers of bipolar disorders. In: Statistics in Medicine, 38, 2019, 4574--4582 |
|---|
| 2019 | Zhou, Ling and Lin, Huazhen and Chen, Kani and Liang,
Hua: Efficient estimation and computation of parameters and
nonparametric functions in generalized semi/non-parametric
regression models. In: Journal of Econometrics, 213, 2019, 593--607 |
|---|
| 2019 | Huang, Hailin and Tang, Yanlin and Li, Yuanzhang and
Liang, Hua: Estimation in additive models with fixed censored
responses. In: Journal of Nonparametric Statistics, 31, 2019, 131--143 |
|---|
| 2019 | Chen, Xuerong and Li, Haoqi and Liang, Hua and Lin,
Huazhen: Functional response regression analysis. In: Journal of Multivariate Analysis, 169, 2019, 218--233 |
|---|
| 2019 | Lin, Huazhen and Yang, Baoying and Zhou, Ling and Yip,
Paul S. F. and Chen, Ying-Yeh and Liang, Hua: Global kernel estimator and test of varying-coefficient
autoregressive model. In: The Canadian Journal of Statistics, 47, 2019, 487--519 |
|---|
| 2019 | Cui, Xia and Zhao, Weihua and Lian, Heng and Liang, Hua: Pursuit of dynamic structure in quantile additive models
with longitudinal data. In: Computational Statistics \& Data Analysis, 130, 2019, 42--60 |
|---|
| 2019 | Lin, Hongmei and Lian, Heng and Liang, Hua: Rank reduction for high-dimensional generalized additive
models. In: Journal of Multivariate Analysis, 173, 2019, 672--684 |
|---|
| 2019 | Xu, Wenchao and Zhang, Riquan and Liang, Hua: Two-sample functional linear models. In: Statistica Sinica, 29, 2019, 1891--1913 |
|---|
| 2018 | Fang, Yixin and Lian, Heng and Liang, Hua: A generalized partially linear framework for variance
functions. In: Annals of the Institute of Statistical Mathematics, 70, 2018, 1147--1175 |
|---|
| 2018 | Tang, Yanlin and Wang, Huixia Judy and Liang, Hua: Composite estimation for single-index models with
responses subject to detection limits. In: Scandinavian Journal of Statistics, 45, 2018, 444--464 |
|---|
| 2018 | Zhou, Ling and Lin, Huazhen and Liang, Hua: Efficient estimation of the nonparametric mean and
covariance functions for longitudinal and sparse functional
data. In: Journal of the American Statistical Association, 113, 2018, 1550--1564 |
|---|
| 2018 | Li, Xinmin and Su, Haiyan and Liang, Hua: Fiducial generalized {$p$}-values for testing
zero-variance components in linear mixed-effects models. In: Science China. Mathematics, 61, 2018, 1303--1318 |
|---|
| 2017 | Kuniholm, Mark H and Liang, Hua and Anastos, Kathryn and
Gustafson, Deborah and Kassaye, Seble and Nowicki, Marek
and Sha, Beverly E and Pawlowski, Emilia J and Gange,
Stephen J and Aouizerat, Bradley E and others: Association of a 3′ Untranslated Region Polymorphism in
{PCSK9} with {HIV} Viral Load and {CD4+} Levels in
{HIV/}Hepatitis {C} Virus Co-Infected Women. In: AIDS, 31, 2017, 2483 |
|---|
| 2017 | Liu, Xiang and Chen, Tian and Li, Yuanzhang and Liang,
Hua: Bootstrap-based {LASSO}-type selection to build
generalized additive partially linear models for
high-dimensional data. Monte-{C}arlo simulation-based statistical modeling. 2017. 405--424 |
|---|
| 2017 | Zhang, Jun and Feng, Zhenghui and Xu, Peirong and Liang,
Hua: Generalized varying coefficient partially linear
measurement errors models. In: Annals of the Institute of Statistical Mathematics, 69, 2017, 97--120 |
|---|
| 2017 | Zhao, Weihua and Lian, Heng and Liang, Hua: G{EE} analysis for longitudinal single-index quantile
regression. In: Journal of Statistical Planning and Inference, 187, 2017, 78--102 |
|---|
| 2017 | Zhao, Weihua and Lian, Heng and Liang, Hua: Quantile regression for the single-index coefficient
model. In: Bernoulli, 23, 2017, 1997--2027 |
|---|
| 2017 | Ma, Shujie and Lian, Heng and Liang, Hua and Carroll,
Raymond J.: Si{AM}: a hybrid of single index models and additive
models. In: Electronic Journal of Statistics, 11, 2017, 2397--2423 |
|---|
| 2017 | Yang, Hui and Lin, Peng and Zou, Guohua and Liang, Hua: Variable selection and model averaging for longitudinal
data incorporating {GEE} approach. In: Statistica Sinica, 27, 2017, 389--413 |
|---|
| 2016 | Chen, Baicheng and Liang, Hua and Zhou, Yong: G{MM} estimation in partial linear models with endogenous
covariates causing an over-identified problem. In: Communications in Statistics. Theory and Methods, 45, 2016, 3168--3184 |
|---|
| 2016 | Chen, Tian and Ma, Shujie and Kobie, James and Rosenberg,
Alexander and Sanz, Ignacio and Liang, Hua: Identification of significant {B} cell associations with
undetected observations using a {T}obit model. In: Statistics and its Interface, 9, 2016, 79--91 |
|---|
| 2016 | Zhang, Xinyu and Yu, Dalei and Zou, Guohua and Liang,
Hua: Optimal model averaging estimation for generalized linear
models and generalized linear mixed-effects models. In: Journal of the American Statistical Association, 111, 2016, 1775--1790 |
|---|
| 2016 | Zhu, Rong and Zou, Guohua and Liang, Hua and Zhu, Lixing: Penalized weighted least squares to small area
estimation. In: Scandinavian Journal of Statistics, 43, 2016, 736--756 |
|---|
| 2016 | Zhang, Xinyu and Liang, Hua and Liu, Anna and Ruppert,
David and Zou, Guohua: Selection strategy for covariance structure of random
effects in linear mixed-effects models. In: Scandinavian Journal of Statistics, 43, 2016, 275--291 |
|---|
| 2016 | Lian, Heng and Liang, Hua: Separation of linear and index covariates in partially
linear single-index models. In: Journal of Multivariate Analysis, 143, 2016, 56--70 |
|---|
| 2016 | Gagnon, Jacob and Liang, Hua and Liu, Anna: Spherical radial approximation for nested mixed effects
models. In: Statistics and Computing, 26, 2016, 119--130 |
|---|
| 2015 | Ma, Shujie and Carroll, Raymond J. and Liang, Hua and Xu,
Shizhong: Estimation and inference in generalized additive
coefficient models for nonlinear interactions with
high-dimensional covariates. In: The Annals of Statistics, 43, 2015, 2102--2131 |
|---|
| 2015 | Wang, Tao and Zhang, Jun and Liang, Hua and Zhu, Lixing: Estimation of a groupwise additive multiple-index model
and its applications. In: Statistica Sinica, 25, 2015, 551--566 |
|---|
| 2015 | Yang, Hui and Liu, Yutao and Liang, Hua: Focused information criterion on predictive models in
personalized medicine. In: Biometrical Journal, 57, 2015, 422--440 |
|---|
| 2015 | Chen, Jia and Li, Degui and Liang, Hua and Wang, Suojin: Semiparametric {GEE} analysis in partially linear
single-index models for longitudinal data. In: The Annals of Statistics, 43, 2015, 1682--1715 |
|---|
| 2015 | Lian, Heng and Liang, Hua and Ruppert, David: Separation of covariates into nonparametric and parametric
parts in high-dimensional partially linear additive
models. In: Statistica Sinica, 25, 2015, 591--607 |
|---|
| 2015 | Yixin Fang and Heng Lian and Hua Liang and David Ruppert: Variance function additive partial linear models. In: Electronic Journal of Statistics, 9, 2015, 2793-2827 |
|---|
| 2015 | Lian, Heng and Liang, Hua and Carroll, Raymond J.: Variance function partially linear single-index models. In: Journal of the Royal Statistical Society. Series B., 77, 2015, 171--194 |
|---|
| 2015 | Zhang, Sai Yin and Liang, Hua: Weighted likelihood inference for partially linear
regression models. In: Journal of Systems Science and Mathematical Sciences, 35, 2015, 1501--1509 |
|---|
| 2014 | Yi, Min and Deng, Guohua and Liang, Hua: Cram\'er asymptotic efficiency in a semiparametric model. In: Communications in Statistics. Theory and Methods, 43, 2014, 2618--2628 |
|---|
| 2014 | Wang, Li and Xue, Lan and Qu, Annie and Liang, Hua: Estimation and model selection in generalized additive
partial linear models for correlated data with diverging
number of covariates. In: The Annals of Statistics, 42, 2014, 592--624 |
|---|
| 2014 | Lian, Heng and Liang, Hua and Wang, Lan: Generalized additive partial linear models for clustered
data with diverging number of covariates using {GEE}. In: Statistica Sinica, 24, 2014, 173--196 |
|---|
| 2014 | Ma, Shujie and Zhang, Jun and Sun, Zihua and Liang, Hua: Integrated conditional moment test for partially linear
single index models incorporating dimension-reduction. In: Electronic Journal of Statistics, 8, 2014, 523--542 |
|---|
| 2014 | Zhang, Xinyu and Zou, Guohua and Liang, Hua: Model averaging and weight choice in linear mixed-effects
models. In: Biometrika, 101, 2014, 205--218 |
|---|
| 2014 | Zhang, Jun and Yu, Yao and Zhou, Bu and Liang, Hua: Nonlinear measurement error models subject to additive
distortion. In: Journal of Statistical Planning and Inference, 150, 2014, 49--65 |
|---|
| 2014 | Ma, Shujie and Liang, Hua and Tsai, Chih-Ling: Partially linear single index models for repeated
measurements. In: Journal of Multivariate Analysis, 130, 2014, 354--375 |
|---|
| 2014 | Lian, Heng and Du, Pang and Li, YuanZhang and Liang, Hua: Partially linear structure identification in generalized
additive models with {NP}-dimensionality. In: Computational Statistics \& Data Analysis, 80, 2014, 197--208 |
|---|
| 2014 | Wu, Hulin and Lu, Tao and Xue, Hongqi and Liang, Hua: Sparse additive ordinary differential equations for
dynamic gene regulatory network modeling. In: Journal of the American Statistical Association, 109, 2014, 700--716 |
|---|
| 2013 | Zhang, H. and Holden-Wiltse, J. and Wang, J. and Liang,
H.: A strategy to model nonmonotonic dose-response curve and
estimate {IC$_{50}$}. In: PLOS One, 8, 2013, 1-7 (e69301) |
|---|
| 2013 | Zhang, XinYu and Zou, GuoHua and Liang, Hua: Choice of weights in {FMA} estimators under general
parametric models. In: Science China. Mathematics, 56, 2013, 443--457 |
|---|
| 2013 | Lian, Heng and Liang, Hua: Generalized additive partial linear models with
high-dimensional covariates. In: Econometric Theory, 29, 2013, 1136--1161 |
|---|
| 2013 | Yu, Yao and Thurston, Sally W. and Hauser, Russ and Liang,
Hua: Model averaging procedure for partially linear
single-index models. In: Journal of Statistical Planning and Inference, 143, 2013, 2160--2170 |
|---|
| 2013 | Xia, C.M. and Wu, J.L. and Liang, H.: Model tumor pattern and compare treatment effects using
semiparametric linear mixed-effects models. In: Journal of Biometrics and Biostatistics, 4, 2013, 168 |
|---|
| 2013 | Yu, Y. and Liang, H.: Parameter estimation for {HIV ODE} model incorporating
longitudinal structure. In: Statistics and Its Interface, 6, 2013, 9-18 |
|---|
| 2013 | Zhang, Jun and Yu, Yao and Zhu, Li-Xing and Liang, Hua: Partial linear single index models with distortion
measurement errors. In: Annals of the Institute of Statistical Mathematics, 65, 2013, 237--267 |
|---|
| 2013 | Lian, H. and Lai, P. and Liang, H.: Partially linear structure selection in {C}ox models with
varying coefficients. In: Biometrics, 69, 2013, 348-357 |
|---|
| 2013 | Sun, ZhiHua and Xie, TianFa and Liang, Hua: Statistical inference for right-censored data with
nonignorable missing censoring indicators. In: Science China. Mathematics, 56, 2013, 1263--1278 |
|---|
| 2012 | Zhang, Jun and Wang, Tao and Zhu, Lixing and Liang, Hua: A dimension reduction based approach for estimation and
variable selection in partially linear single-index models
with high-dimensional covariates. In: Electronic Journal of Statistics, 6, 2012, 2235--2273 |
|---|
| 2012 | Wang, Jiabin and Liang, Hua and Chen, Rong: A state space model approach for {HIV} infection
dynamics. In: Journal of Time Series Analysis, 33, 2012, 841--849 |
|---|
| 2012 | Liang, Hua and Du, Pang: Maximum likelihood estimation in logistic regression
models with a diverging number of covariates. In: Electronic Journal of Statistics, 6, 2012, 1838--1846 |
|---|
| 2012 | Zhang, Jun and Zhu, Li-Xing and Liang, Hua: Nonlinear models with measurement errors subject to
single-indexed distortion. In: Journal of Multivariate Analysis, 112, 2012, 1--23 |
|---|
| 2012 | Chen, Baicheng and Yu, Yao and Zou, Hui and Liang, Hua: Profiled adaptive elastic-net procedure for partially
linear models with high-dimensional covariates. In: Journal of Statistical Planning and Inference, 142, 2012, 1733--1745 |
|---|
| 2012 | Liang, Hua and Wang, Hansheng and Tsai, Chih-Ling: Profiled forward regression for ultrahigh dimensional
variable screening in semiparametric partially linear
models. In: Statistica Sinica, 22, 2012, 531--554 |
|---|
| 2012 | Du, Pang and Cheng, Guang and Liang, Hua: Semiparametric regression models with additive
nonparametric components and high dimensional parametric
components. In: Computational Statistics \& Data Analysis, 56, 2012, 2006--2017 |
|---|
| 2012 | Wang, L. and Du, P. and Liang, H.: Two-component mixture cure rate model with spline
estimated nonparametric components. In: Biometrics, 68, 2012, 726-735 |
|---|
| 2012 | Liu, Xiang and Peng, Yingwei and Tu, Dongsheng and Liang,
Hua: Variable selection in semiparametric cure models based on
penalized likelihood, with application to breast cancer
clinical trials. In: Statistics in Medicine, 31, 2012, 2882--2891 |
|---|
| 2011 | Li, Xinmin and Wang, Juan and Liang, Hua: Comparison of several means: a fiducial based approach. In: Computational Statistics \& Data Analysis, 55, 2011, 1993--2002 |
|---|
| 2011 | Chen, Rong and Liang, Hua and Wang, Jing: Determination of linear components in additive models. In: Journal of Nonparametric Statistics, 23, 2011, 367--383 |
|---|
| 2011 | Wang, Li and Liu, Xiang and Liang, Hua and Carroll,
Raymond J.: Estimation and variable selection for generalized additive
partial linear models. In: The Annals of Statistics, 39, 2011, 1827--1851 |
|---|
| 2011 | Liu, Xiang and Wang, Li and Liang, Hua: Estimation and variable selection for semiparametric
additive partial linear models. In: Statistica Sinica, 21, 2011, 1225--1248 |
|---|
| 2011 | Zhang, Xinyu and Liang, Hua: Focused information criterion and model averaging for
generalized additive partial linear models. In: The Annals of Statistics, 39, 2011, 194--200 |
|---|
| 2011 | Lu, Tao and Liang, Hua and Li, Hongzhe and Wu, Hulin: High-dimensional {ODE}s coupled with mixed-effects
modeling techniques for dynamic gene regulatory network
identification. In: Journal of the American Statistical Association, 106, 2011, 1242--1258 |
|---|
| 2011 | Wang, J. and Zhang, G. and Bambarab, C. R. and Li, D. G.
and Liang, H. and Wu, H. and Smith, H. M. and Lowea, N. R.
and Demeter, L. and Dykes, C.: Nonnucleoside reverse transcriptase inhibitor-resistant
virus {HIV} is stimulated by efavirenz during early stages
of infection. In: Journal of Virology, 85, 2011, 10861-10873 |
|---|
| 2011 | Liang, Hua and Zou, Guohua and Wan, Alan T. K. and Zhang,
Xinyu: Optimal weight choice for frequentist model average
estimators. In: Journal of the American Statistical Association, 106, 2011, 1053--1066 |
|---|
| 2011 | Leng, Chenlei and Liang, Hua and Martinson, Neil: Parametric variable selection in generalized partially
linear models with an application to assess condom use by
{HIV}-infected patients. In: Statistics in Medicine, 30, 2011, 2015--2027 |
|---|
| 2011 | Su, Haiyan and Zhou, Mai and Liang, Hua: Semi-parametric hybrid empirical likelihood inference for
two-sample comparison with censored data. In: Lifetime Data Analysis, 17, 2011, 533--551 |
|---|
| 2011 | Yi, Grace Y. and He, Wenqing and Liang, Hua: Semiparametric marginal and association regression methods
for clustered binary data. In: Annals of the Institute of Statistical Mathematics, 63, 2011, 511--533 |
|---|
| 2010 | Su, Haiyan and Liang, Hua: An empirical likelihood-based method for comparison of
treatment effects---test of equality of coefficients in
linear models. In: Computational Statistics \& Data Analysis, 54, 2010, 1079--1088 |
|---|
| 2010 | Liang, Hua and Wu, Hulin: Correction: ``{P}arameter estimation for differential
equation models using a framework of measurement error in
regression models''. In: Journal of the American Statistical Association, 105, 2010, 1636 |
|---|
| 2010 | Liang, Hua and Liu, Xiang and Li, Runze and Tsai,
Chih-Ling: Estimation and testing for partially linear single-index
models. In: The Annals of Statistics, 38, 2010, 3811--3836 |
|---|
| 2010 | Liang, Hua and Miao, Hongyu and Wu, Hulin: Estimation of constant and time-varying dynamic parameters
of {HIV} infection in a nonlinear differential equation
model. In: The Annals of Applied Statistics, 4, 2010, 460--483 |
|---|
| 2010 | Deng, GuoHua and Liang, Hua: Model averaging for semiparametric additive partial linear
models. In: Science China. Mathematics, 53, 2010, 1363--1376 |
|---|
| 2010 | Du, Pang and Ma, Shuangge and Liang, Hua: Penalized variable selection procedure for {C}ox models
with semiparametric relative risk. In: The Annals of Statistics, 38, 2010, 2092--2117 |
|---|
| 2010 | Xue, Lan and Liang, Hua: Polynomial spline estimation for a generalized additive
coefficient model. In: Scandinavian Journal of Statistics. Theory and
Applications, 37, 2010, 26--46 |
|---|
| 2009 | Yi, Grace Y. and He, Wenqing and Liang, Hua: Analysis of correlated binary data under partially linear
single-index logistic models. In: Journal of Multivariate Analysis, 100, 2009, 278--290 |
|---|
| 2009 | Hua Liang and Haiyan Su and Guohua Zou: Confidence Intervals for A Common Mean with Missing Data
with Applications in an {AIDS} Study. In: Computational Statistics and Data Analysis, 15, 2009, 546-553 |
|---|
| 2009 | Liang, Hua and Su, Haiyan and Thurston, Sally W. and
Meeker, John D. and Hauser, Russ: Empirical likelihood based inference for additive partial
linear measurement error models. In: Statistics and its Interface, 2, 2009, 83--90 |
|---|
| 2009 | Liang, Hua and Qin, Yongsong and Zhang, Xinyu and Ruppert,
David: Empirical likelihood-based inferences for generalized
partially linear models. In: Scandinavian Journal of Statistics. Theory and
Applications, 36, 2009, 433--443 |
|---|
| 2009 | Liang, Hua: Generalized partially linear mixed-effects models
incorporating mismeasured covariates. In: Annals of the Institute of Statistical Mathematics, 61, 2009, 27--46 |
|---|
| 2009 | Liang, Hua and Song, Weixing: Improved estimation in multiple linear regression models
with measurement error and general constraint. In: Journal of Multivariate Analysis, 100, 2009, 726--741 |
|---|
| 2009 | Zhou, Yong and Liang, Hua: Statistical inference for semiparametric
varying-coefficient partially linear models with
error-prone linear covariates. In: The Annals of Statistics, 37, 2009, 427--458 |
|---|
| 2009 | Wu, Xiaoyong and Liang, Hua and Zou, Guohua: Unbiased invariant least squares estimation in a
generalized growth curve model. In: Sankhy\=a, 71, 2009, 73--93 |
|---|
| 2009 | Liang, Hua and Li, Runze: Variable selection for partially linear models with
measurement errors. In: Journal of the American Statistical Association, 104, 2009, 234--248 |
|---|
| 2008 | Liang, Hua and Wu, Hulin and Zou, Guohua: A note on conditional {AIC} for linear mixed-effects
models. In: Biometrika, 95, 2008, 773--778 |
|---|
| 2008 | Liang, Hua and Thurston, Sally W. and Ruppert, David and
Apanasovich, Tatiyana and Hauser, Russ: Additive partial linear models with measurement errors. In: Biometrika, 95, 2008, 667--678 |
|---|
| 2008 | Liang, Hua and Qin, Yongsong: Empirical likelihood-based inferences for partially linear
models with missing covariates. In: Australian \& New Zealand Journal of Statistics, 50, 2008, 347--359 |
|---|
| 2008 | Wang, Suojin and Liang, Hua and Jin, Lei: Estimation in partially linear models with missing data: a
review. Asymptotic theory in probability and statistics with
applications. 2008. 342--359 |
|---|
| 2008 | Liang, H.: Evaluation of change in {CD}4+ cell counts in {AIDS}
clinical trials. In: Statistical Methods in Medical Research, 17, 2008, 141--150 |
|---|
| 2008 | Liang, Hua: Generalized partially linear models with missing
covariates. In: Journal of Multivariate Analysis, 99, 2008, 880--895 |
|---|
| 2008 | Huang, Yangxin and Liang, Hua and Wu, Hulin: Identifying significant covariates for anti-{HIV}
treatment response: mechanism-based differential equation
models and empirical semiparametric regression models. In: Statistics in Medicine, 27, 2008, 4722--4739 |
|---|
| 2008 | Liang, Hua and Zou, Guohua: Improved {AIC} selection strategy for survival analysis. In: Computational Statistics \& Data Analysis, 52, 2008, 2538--2548 |
|---|
| 2008 | Liang, Hua and Wu, Hulin: Parameter estimation for differential equation models
using a framework of measurement error in regression
models. In: Journal of the American Statistical Association, 103, 2008, 1570--1583 |
|---|
| 2008 | Liang, Hua and Zhou, Yong: Semiparametric inference for {ROC} curves with censoring. In: Scandinavian Journal of Statistics. Theory and
Applications, 35, 2008, 212--227 |
|---|
| 2008 | Li, Runze and Liang, Hua: Variable selection in semiparametric regression modeling. In: The Annals of Statistics, 36, 2008, 261--286 |
|---|
| 2007 | Liang, Hua and Shi, Yi Min: A local constant estimator for nonparametric mixed-effects
models with longitudinal data. In: Journal of Systems Science and Mathematical Sciences, 27, 2007, 102--112 |
|---|
| 2007 | Liang, Hua and Zou, Guohua: Analysis of relation between virologic responses and
immunologic responses, patient's factors in {AIDS} clinical
trials using a semiparametric mixed-effects model. In: Biometrical Journal, 49, 2007, 406--415 |
|---|
| 2007 | He, Yanling and Huang, Wenzheng and Liang, Hua: Axiomatic development of profile likelihoods as the
strength of evidence for composite hypotheses. In: Communications in Statistics. Theory and Methods, 36, 2007, 2695--2706 |
|---|
| 2007 | Härdle, Wolfgang and Liang, Hua: Partially linear models. Statistical methods for biostatistics and related fields. Berlin: 2007. 87--103 |
|---|
| 2007 | Liang, Hua and Wang, Suojin and Carroll, Raymond J.: Partially linear models with missing response variables
and error-prone covariates. In: Biometrika, 94, 2007, 185--198 |
|---|
| 2007 | Treanor, J. J. and Schiff, G. M. and Hayden, F. G. and
Brady, R. C. and Hay, C. M. and Meyer, A. L. and Wiltse, J.
H. and Liang, H. and Gilbert, A. and and Cox, M.: Safety and immunogenicity of a baculovirus-expressed
hemagglutinin influenza vaccine-a randomized controlled
trial. In: Journal of the American Medical Association, 297, 2007, 1557-1582 |
|---|
| 2007 | Liang, H.: Segmental modeling of changing viral load to assess drug
resistance in {HIV} infection. In: Statistical Methods in Medical Research, 16, 2007, 365--373 |
|---|
| 2006 | Liang, Hua: Checking linearity of non-parametric component in
partially linear models with an application in systemic
inflammatory response syndrome study. In: Statistical Methods in Medical Research, 15, 2006, 273--284 |
|---|
| 2006 | Liang, Hua: Estimation in partially linear models and numerical
comparisons. In: Computational Statistics \& Data Analysis, 50, 2006, 675--687 |
|---|
| 2006 | Zhou, Xiao-Hua and Liang, Hua: Semi-parametric single-index two-part regression models. In: Computational Statistics \& Data Analysis, 50, 2006, 1378--1390 |
|---|
| 2005 | Liang, Hua and Tan, Waiyuan and Xiong, Xiaoping: A {B}ayesian approach for assessing drug resistance in
{HIV} infection using viral load. Deterministic and stochastic models of {AIDS} epidemics
and {HIV} infections with intervention. 2005. 497--512 |
|---|
| 2005 | Zhou, Yong and Liang, Hua: Empirical-likelihood-based semiparametric inference for
the treatment effect in the two-sample problem with
censoring. In: Biometrika, 92, 2005, 271--282 |
|---|
| 2005 | Liang, Hua and Ren, Haobo: Generalized partially linear measurement error models. In: Journal of Computational and Graphical Statistics, 14, 2005, 237--250 |
|---|
| 2005 | Liang, Hua: Modeling antitumor activity in xenograft tumor treatment. In: Biometrical Journal, 47, 2005, 358--368 |
|---|
| 2005 | Liang, Hua and Wang, Naisyin: Partially linear single-index measurement error models. In: Statistica Sinica, 15, 2005, 99--116 |
|---|
| 2004 | Ren, Haobo and Zhou, Xiao-Hua and Liang, Hua: A flexible method for estimating the {ROC} curve. In: Journal of Applied Statistics, 31, 2004, 773--784 |
|---|
| 2004 | Wu, Hulin and Liang, Hua: Backfitting random varying-coefficient models with
time-dependent smoothing covariates. In: Scandinavian Journal of Statistics. Theory and
Applications, 31, 2004, 3--19 |
|---|
| 2004 | Liang, Hua: Comparison of curves based on a {C}ram\'er-von {M}ises
statistic. In: Computational Statistics \& Data Analysis, 45, 2004, 805--812 |
|---|
| 2004 | Wu, Hulin and Zhao, Caixia and Liang, Hua: Comparison of linear, nonlinear and semiparametric
mixed-effects models for estimating {HIV} dynamic
parameters. In: Biometrical Journal, 46, 2004, 233--245 |
|---|
| 2004 | Liang, Hua and Wang, Suojin and Robins, James M. and
Carroll, Raymond J.: Estimation in partially linear models with missing
covariates. In: Journal of the American Statistical Association, 99, 2004, 357--367 |
|---|
| 2004 | Ren, Haobo and Liang, Hua: Heteroscedasticity check with application in systemic
inflammatory response syndrome study. In: Far East Journal of Theoretical Statistics, 13, 2004, 33--46 |
|---|
| 2004 | Liang, Hua and Sha, Naijun: Modeling antitumor activity by using a non-linear
mixed-effects model. In: Mathematical Biosciences, 189, 2004, 61--73 |
|---|
| 2003 | Zhou, Yong and Liang, Hua: Asymptotic properties for {$L_1$} norm kernel estimator of
conditional median under dependence. In: Journal of Nonparametric Statistics, 15, 2003, 205--219 |
|---|
| 2003 | Liang, Hua and Härdle, Wolfgang: Partial linear models with heteroscedastic variances. In: Journal of the Japanese Society of Computational
Statistics, 15, 2003, 89--104 |
|---|
| 2003 | Liang, Hua and Wu, Hulin and Carroll, Raymond J: The relationship between virologic and immunologic responses in AIDS clinical research using mixed-effects varying-coefficient models with measurement error. In: Biostatistics, 4, 2003, 297--312 |
|---|
| 2001 | Galindo, Christian D and Liang, Hua and Kauermann, Goran and Carroll, Raymond J: Bootstrap confidence intervals for local likelihood, local estimating equations and varying coefficient models. In: Statistica Sinica, 2001, 121--134 |
|---|
| 2000 | Zhou, Yong and Liang, Hua: Asymptotic normality for {$L_1$} norm kernel estimator of
conditional median under {$\alpha$}-mixing dependence. In: Journal of Multivariate Analysis, 73, 2000, 136--154 |
|---|
| 2000 | Liang, Hua: Asymptotic normality of parametric part in partially
linear models with measurement error in the nonparametric
part. In: Journal of Statistical Planning and Inference, 86, 2000, 51--62 |
|---|
| 2000 | Liang, Hua and Härdle, Wolfgang and Sommerfeld,
Volker: Bootstrap approximation in a partially linear regression
model. In: Journal of Statistical Planning and Inference, 91, 2000, 413--426 |
|---|
| 2000 | Härdle, Wolfgang and Liang, Hua and Gao, Jiti: Partially linear models. Heidelberg: 2000 |
|---|
| 2000 | He, Xuming and Liang, Hua: Quantile regression estimates for a class of linear and
partially linear errors-in-variables models. In: Statistica Sinica, 10, 2000, 129--140 |
|---|
| 1999 | Liang, Hua and Zhu, Lixing and Zhou, Yong: Asymptotically efficient estimation based on wavelet of
expectation value in a partial linear model. In: Communications in Statistics. Theory and Methods, 28, 1999, 2045--2055 |
|---|
| 1999 | Shi, Yi Min and Zhang, Ling Xia and Liang, Hua: Bahadur asymptotic efficiency for parameter estimation in
a partial linear model. In: Chinese Journal of Engineering Mathematics, 16, 1999, 30--36 |
|---|
| 1999 | Liang, Hua and Härdle, Wolfgang and Carroll, Raymond
J.: Estimation in a semiparametric partially linear
errors-in-variables model. In: The Annals of Statistics, 27, 1999, 1519--1535 |
|---|
| 1999 | Liang, Hua and Härdle, Wolfgang: Large sample theory of the estimation of the error
distribution for a semiparametric model. In: Communications in Statistics. Theory and Methods, 28, 1999, 2025--2036 |
|---|
| 1999 | Liang, Hua: The {LIL} for the estimates of the parameters in a partly
linear regression model. In: Taiwanese Journal of Mathematics, 3, 1999, 517--528 |
|---|
| 1998 | Liang, Hua and Zhou, Yong: A modified estimator of error variance in a partly linear
model. In: Communications in Statistics. Theory and Methods, 27, 1998, 819--825 |
|---|
| 1998 | Liang, Hua and Zhou, Yong: Asymptotic normality in a semiparametric partially linear
model with right-censored data. In: Communications in Statistics. Theory and Methods, 27, 1998, 2895--2907 |
|---|
| 1997 | Zou, Guohua and Liang, Hua: Admissibility of the usual estimators under
error-in-variables superpopulation model. In: Statistics \& Probability Letters, 32, 1997, 301--309 |
|---|
| 1997 | Tao, Jingxuan and Liang, Hua: Asymptotic normality in a semiparametric regression
model. In: Chinese Journal of Applied Probability and Statistics, 13, 1997, 337--344 |
|---|
| 1997 | Xiong, Jian and Liang, Hua: On asymptotically efficient estimation for a
semiparametric regression model. In: Acta Mathematicae Applicatae Sinica 13, 1997, 302--313 |
|---|
| 1997 | Gao, Jiti and Liang, Hua: Statistical inference in single-index and partially
nonlinear models. In: Annals of the Institute of Statistical Mathematics, 49, 1997, 493--517 |
|---|
| 1996 | Liang, Hua: A note on asymptotics in a semiparametric additive model. In: Mathematica Applicata, 9, 1996, 328--330 |
|---|
| 1996 | Liang, Hua: A sufficient and necessary condition on {C}ram\'er
asymptotic efficiency in a semiparametric regression model. In: Chinese Journal of Applied Probability and Statistics, 12, 1996, 233--238 |
|---|
| 1996 | Liang, Hua: Asymptotic efficiency in semiparametric models. In: Progress in Natural Science, 6, 1996, 26--35 |
|---|
| 1996 | Liang, Hua and Zou, Guohua: Asymptotically linear estimation in a generalized linear
model. In: Communications in Statistics. Theory and Methods, 25, 1996, 937--945 |
|---|
| 1996 | Gao, Jiti and Hong, Shengyan and Liang, Hua: Berry-{E}sseen bounds of error variance estimation in
partly linear models. In: Chinese Annals of Mathematics. Series B, 17, 1996, 477--490 |
|---|
| 1996 | Gao, Yu Fu and Liang, Hua: Generalized least square estimates in the {EV}
(errors-in-variables) linear regression model. In: Mathematics in Practice and Theory, 26, 1996, 343--348 |
|---|
| 1996 | Liang, Hua and Chen, Guijing: On {T}akeuchi efficiency in two classes of
single-parameter two-sided truncated distributions. In: Systems Science and Mathematical Sciences, 9, 1996, 278--282 |
|---|
| 1996 | Liang, Hua: Second order asymptotic efficiency in a partly
autoregressive model. In: Systems Science and Mathematical Sciences, 9, 1996, 164--170 |
|---|
| 1996 | Liang, Hua and Gao, Ji Ti: Some results on asymptotic efficiency in a generalized
semiparametric regression model. In: Chinese Journal of Applied Probability and Statistics, 12, 1996, 213--220 |
|---|
| 1995 | Liang, Hua: A note on asymptotic normality for nonparametric multiple
regression: the fixed design case. In: Soochow Journal of Mathematics, 21, 1995, 395--399 |
|---|
| 1995 | Liang, Hua: Asymptotic efficiency in a partly autoregressive model. In: Chinese Journal of Applied Probability and Statistics, 11, 1995, 235--246 |
|---|
| 1995 | Liang, Hua and Ye, Bai Qing: Asymptotic efficiency of {MLE} in the asymptotically
median unbiased sense. In: Mathematica Applicata. Yingyong Shuxue, 8, 1995, 325--327 |
|---|
| 1995 | Gao, Ji Ti and Liang, Hua: Asymptotic normality of pseudo-{LS} estimator for partly
linear autoregression models. In: Statistics \& Probability Letters, 23, 1995, 27--34 |
|---|
| 1995 | Liang, Hua and Cheng, Ping: Construction of asymptotically efficient estimators in a
semiparametric model. In: Journal of Systems Science and Mathematical Sciences, 15, 1995, 231--243 |
|---|
| 1995 | Liang, Hua: On asymptotically medial unbiased estimators in
truncated-type distribution families. In: Systems Science and Mathematical Sciences, 8, 1995, 128--133 |
|---|
| 1995 | Liang, Hua and Yuan, Yahua: On the best uniform convergence rate of {EB} estimators. In: Systems Science and Mathematical Sciences, 8, 1995, 52--56 |
|---|
| 1995 | Liang, Hua and Cheng, Ping: On {B}ahadur asymptotic efficiency in a semiparametric
regression model. In: Acta Mathematicae Applicatae Sinica, 11, 1995, 172--183 |
|---|
| 1995 | Liang, Hua: On {B}ahadur asymptotic efficiency of the maximum
likelihood estimator for a generalized semiparametric
model. In: Statistica Sinica, 5, 1995, 363--371 |
|---|
| 1995 | Gao, Ji Ti and Hong, Sheng Yan and Liang, Hua: Rates of convergence of sums of estimators in partly
linear models. In: Acta Mathematica Sinica. Shuxue Xuebao, 38, 1995, 658--669 |
|---|
| 1995 | Liang, Hua: Second-order asymptotic efficiency of {PMLE} in
generalized linear models. In: Statistics \& Probability Letters, 24, 1995, 273--279 |
|---|
| 1995 | Liang, Hua and Qing, Ye Bai: Some notes on asymptotic efficiency in a class of
two-sided truncated distributions. In: Chinese Journal of Mathematics, 23, 1995, 123--129 |
|---|
| 1994 | Liang, Hua and Cheng, Ping: Bahadur asymptotic efficiency in a semiparametric
regression model. In: Chinese Annals of Mathematics. Series B, 15, 1994, 129--140 |
|---|
| 1994 | Liang, Hua: On the smallest possible asymptotically efficient variance
in semiparametric models. In: Systems Science and Mathematical Sciences, 7, 1994, 29--33 |
|---|
| 1994 | Liang, Hua and Cheng, Ping: On {B}ahadur asymptotic efficiency in a semiparametric
regression model. In: Systems Science and Mathematical Sciences, 7, 1994, 229--240 |
|---|
| 1994 | Liang, Hua: The {B}erry-{E}sseen bounds of error variance estimation
in semiparametric regression models. In: Communications in Statistics. Theory and Methods, 23, 1994, 3439--3451 |
|---|
| 1993 | Liang, Hua and Cheng, Ping: Second order asymptotic efficiency in a partial linear
model. In: Statistics \& Probability Letters, 18, 1993, 73--84 |
|---|
