| Year |
Citation |
Score |
| 2021 |
Wu X, Liang H, Zou G. Unbiased Invariant Least Squares Estimation in A Generalized Growth Curve Model. Sankhya. Series a. (2008). 71: 73-93. PMID 21191551 |
0.405 |
|
| 2021 |
Liang H. Estimation in Partially Linear Models and Numerical Comparisons. Computational Statistics & Data Analysis. 50: 675-687. PMID 20174596 DOI: 10.1016/j.csda.2004.10.007 |
0.37 |
|
| 2021 |
Liang H. GENERALIZED PARTIALLY LINEAR MIXED-EFFECTS MODELS INCORPORATING MISMEASURED COVARIATES. Annals of the Institute of Statistical Mathematics. 61: 27-46. PMID 20160899 DOI: 10.1007/s10463-007-0146-0 |
0.44 |
|
| 2021 |
Liang H. Generalized Partially Linear Models With Missing Covariates. Journal of Multivariate Analysis. 99: 880-895. PMID 19412320 DOI: 10.1016/j.jmva.2007.05.004 |
0.451 |
|
| 2021 |
Sun Z, Chen F, Liang H, Ruppert D. A projection-based consistent test incorporating dimension-reduction in partial linear models Statistica Sinica. DOI: 10.5705/Ss.202019.0238 |
0.346 |
|
| 2020 |
Zhang X, Zou G, Liang H, Carroll RJ. Parsimonious Model Averaging With a Diverging Number of Parameters. Journal of the American Statistical Association. 115: 972-984. PMID 34168389 DOI: 10.1080/01621459.2019.1604363 |
0.578 |
|
| 2020 |
Huang H, Shangguan J, Li X, Liang H. High-dimensional single-index models with censored responses. Statistics in Medicine. PMID 32379359 DOI: 10.1002/Sim.8571 |
0.502 |
|
| 2020 |
Zhou Y, Liang H. Empirical-likelihood-based semiparametric inference for the treatment effect in the two-sample problem with censoring. Biometrika. 92: 271-282. PMID 20179776 DOI: 10.1093/Biomet/92.2.271 |
0.475 |
|
| 2020 |
Huang H, Li Y, Liang H, Tang Y. Estimation of Single-index Models with Fixed Censored Responses Statistica Sinica. DOI: 10.5705/Ss.202017.0451 |
0.461 |
|
| 2020 |
Huang H, Shangguan J, Li Y, Liang H. Bi-level variable selection in high-dimensional Tobit models Statistics and Its Interface. 13: 151-156. DOI: 10.4310/Sii.2020.V13.N2.A1 |
0.319 |
|
| 2020 |
Xu W, Ding H, Zhang R, Liang H. Estimation and inference in partially functional linear regression with multiple functional covariates Journal of Statistical Planning and Inference. 209: 44-61. DOI: 10.1016/J.Jspi.2020.02.007 |
0.483 |
|
| 2019 |
Huang H, Li Y, Liang H, Wu CO. Decomposition feature selection with applications in detecting correlated biomarkers of bipolar disorders. Statistics in Medicine. PMID 31304613 DOI: 10.1002/Sim.8317 |
0.307 |
|
| 2019 |
Du P, Ma S, Liang H. PENALIZED VARIABLE SELECTION PROCEDURE FOR COX MODELS WITH SEMIPARAMETRIC RELATIVE RISK. Annals of Statistics. 38: 2092-2117. PMID 20802853 DOI: 10.1214/09-Aos780 |
0.508 |
|
| 2019 |
Liang H, Qin Y. Empirical Likelihood Based Inferences for Partially Linear Models with Missing Covariates. Australian & New Zealand Journal of Statistics. 50: 347-359. PMID 20703365 DOI: 10.1111/j.1467-842X.2008.00521.x |
0.345 |
|
| 2019 |
Liang H, Zhou Y. Semiparametric Inference for ROC Curves with Censoring. Scandinavian Journal of Statistics, Theory and Applications. 35: 212-227. PMID 20300485 DOI: 10.1111/J.1467-9469.2007.00580.X |
0.475 |
|
| 2019 |
Zhou XH, Liang H. Semi-parametric single-index two-part regression models. Computational Statistics & Data Analysis. 50: 1378-1390. PMID 20191094 DOI: 10.1016/J.Csda.2004.12.001 |
0.521 |
|
| 2019 |
Su H, Liang H. An Empirical Likelihood-Based Method for Comparison of Treatment Effects-Test of Equality of Coefficients in Linear Models. Computational Statistics & Data Analysis. 54: 1079-1088. PMID 20161586 DOI: 10.1016/J.Csda.2009.10.018 |
0.451 |
|
| 2019 |
Zhou Y, Liang H. Statistical Inference for Semiparametric Varying-coefficient Partially Linear Models with Generated Regressors (F06-463). Annals of Statistics. 37: 427-458. PMID 20126281 DOI: 10.1214/07-Aos561 |
0.508 |
|
| 2019 |
Liang H, Su H, Zou G. Confidence Intervals for A Common Mean with Missing Data with Applications in AIDS Study. Computational Statistics & Data Analysis. 53: 546-553. PMID 20016662 DOI: 10.1016/J.Csda.2008.09.021 |
0.345 |
|
| 2019 |
Liang H, Wu H. Parameter Estimation for Differential Equation Models Using a Framework of Measurement Error in Regression Models. Journal of the American Statistical Association. 103: 1570-1583. PMID 19956350 DOI: 10.1198/016214508000000797 |
0.489 |
|
| 2019 |
Liang H, Wu H, Zou G. A Note on Conditional AIC for Linear Mixed-Effects Models. Biometrika. 95: 773-778. PMID 19122890 DOI: 10.1093/Biomet/Asn023 |
0.418 |
|
| 2019 |
Xu W, Zhang R, Liang H. Two-sample Functional Linear Models Statistica Sinica. DOI: 10.5705/Ss.202016.0459 |
0.366 |
|
| 2019 |
Wang B, Fang Y, Lian H, Liang H. Additive partially linear models for massive heterogeneous data Electronic Journal of Statistics. 13: 391-431. DOI: 10.1214/18-Ejs1528 |
0.395 |
|
| 2019 |
Huang H, Tang Y, Li Y, Liang H. Estimation in additive models with fixed censored responses Journal of Nonparametric Statistics. 31: 131-143. DOI: 10.1080/10485252.2018.1537441 |
0.494 |
|
| 2019 |
Zhang X, Zou G, Liang H, Carroll RJ. Parsimonious Model Averaging With a Diverging Number of Parameters Journal of the American Statistical Association. 115: 972-984. DOI: 10.1080/01621459.2019.1604363 |
0.548 |
|
| 2019 |
Lin H, Lian H, Liang H. Rank reduction for high-dimensional generalized additive models Journal of Multivariate Analysis. 173: 672-684. DOI: 10.1016/J.Jmva.2019.05.005 |
0.511 |
|
| 2019 |
Chen X, Li H, Liang H, Lin H. Functional response regression analysis Journal of Multivariate Analysis. 169: 218-233. DOI: 10.1016/J.Jmva.2018.09.009 |
0.463 |
|
| 2019 |
Zhou L, Lin H, Chen K, Liang H. Efficient estimation and computation of parameters and nonparametric functions in generalized semi/non-parametric regression models Journal of Econometrics. 213: 593-607. DOI: 10.1016/J.Jeconom.2019.06.005 |
0.53 |
|
| 2019 |
Cui X, Zhao W, Lian H, Liang H. Pursuit of dynamic structure in quantile additive models with longitudinal data Computational Statistics & Data Analysis. 130: 42-60. DOI: 10.1016/J.Csda.2018.08.017 |
0.398 |
|
| 2019 |
Mitra P, Lian H, Mitra R, Liang H, Xie M. A general framework for frequentist model averaging Science China Mathematics. 62: 205-226. DOI: 10.1007/S11425-018-9403-X |
0.511 |
|
| 2019 |
Lin H, Yang B, Zhou L, Yip PSF, Chen Y, Liang H. Global kernel estimator and test of varying‐coefficient autoregressive model Canadian Journal of Statistics-Revue Canadienne De Statistique. 47: 487-519. DOI: 10.1002/Cjs.11510 |
0.498 |
|
| 2018 |
Zhang Q, Yu Y, Zhang J, Liang H. Using single-index ODEs to study dynamic gene regulatory network. Plos One. 13: e0192833. PMID 29474376 DOI: 10.1371/Journal.Pone.0192833 |
0.435 |
|
| 2018 |
Zhou L, Lin H, Liang H. Efficient Estimation of the Nonparametric Mean and Covariance Functions for Longitudinal and Sparse Functional Data Journal of the American Statistical Association. 113: 1550-1564. DOI: 10.1080/01621459.2017.1356317 |
0.414 |
|
| 2018 |
Li X, Su H, Liang H. Fiducial generalized p-values for testing zero-variance components in linear mixed-effects models Science China Mathematics. 61: 1303-1318. DOI: 10.1007/S11425-016-9068-8 |
0.452 |
|
| 2018 |
Fang Y, Lian H, Liang H. A generalized partially linear framework for variance functions Annals of the Institute of Statistical Mathematics. 70: 1147-1175. DOI: 10.1007/S10463-017-0619-8 |
0.515 |
|
| 2017 |
Ma S, Lian H, Liang H, Carroll RJ. SiAM: A Hybrid of Single Index Models and Additive Models. Electronic Journal of Statistics. 11: 2397-2423. PMID 29104711 DOI: 10.1214/17-Ejs1291 |
0.625 |
|
| 2017 |
Yang H, Lin P, Zou G, Liang H. Variable Selection and Model Averaging for Longitudinal Data Incorporating GEE Approach Statistica Sinica. DOI: 10.5705/Ss.2013.277 |
0.376 |
|
| 2017 |
Zhao W, Lian H, Liang H. Quantile regression for the single-index coefficient model Bernoulli. 23: 1997-2027. DOI: 10.3150/16-Bej802 |
0.386 |
|
| 2017 |
Tang Y, Wang HJ, Liang H. Composite Estimation for Single-Index Models with Responses Subject to Detection Limits Scandinavian Journal of Statistics. 45: 444-464. DOI: 10.1111/Sjos.12307 |
0.504 |
|
| 2017 |
Zhao W, Lian H, Liang H. GEE analysis for longitudinal single-index quantile regression Journal of Statistical Planning and Inference. 187: 78-102. DOI: 10.1016/J.Jspi.2017.02.011 |
0.468 |
|
| 2016 |
Xu Y, Xiang J, Zhao H, Liang H, Huang J, Li Y, Pan J, Zhou H, Zhang X, Wang JH, Liu Z, Wang J. Human amniotic fluid stem cells labeled with up-conversion nanoparticles for imaging-monitored repairing of acute lung injury. Biomaterials. 100: 91-100. PMID 27244692 DOI: 10.1016/J.Biomaterials.2016.05.034 |
0.403 |
|
| 2016 |
Hu M, Li M, Li W, Liang H. Joint analysis of spikes and Local Field potentials using copula. Neuroimage. PMID 27012500 DOI: 10.1016/J.Neuroimage.2016.03.030 |
0.306 |
|
| 2016 |
Zhu R, Zou G, Liang H, Zhu L. Penalized Weighted Least Squares to Small Area Estimation Scandinavian Journal of Statistics. 43: 736-756. DOI: 10.1111/Sjos.12201 |
0.491 |
|
| 2016 |
Zhang X, Liang H, Liu A, Ruppert D, Zou G. Selection Strategy for Covariance Structure of Random Effects in Linear Mixed-effects Models Scandinavian Journal of Statistics. 43: 275-291. DOI: 10.1111/Sjos.12179 |
0.488 |
|
| 2016 |
Chen B, Liang H, Zhou Y. GMM estimation in partial linear models with endogenous covariates causing an over-identified problem Communications in Statistics - Theory and Methods. 45: 3168-3184. DOI: 10.1080/03610926.2014.901363 |
0.511 |
|
| 2016 |
Zhang X, Yu D, Zou G, Liang H. Optimal Model Averaging Estimation for Generalized Linear Models and Generalized Linear Mixed-Effects Models Journal of the American Statistical Association. 111: 1775-1790. DOI: 10.1080/01621459.2015.1115762 |
0.519 |
|
| 2016 |
Lian H, Liang H. Separation of linear and index covariates in partially linear single-index models Journal of Multivariate Analysis. 143: 56-70. DOI: 10.1016/J.Jmva.2015.08.017 |
0.479 |
|
| 2016 |
Gagnon J, Liang H, Liu A. Spherical radial approximation for nested mixed effects models Statistics and Computing. 26: 119-130. DOI: 10.1007/S11222-014-9483-Z |
0.422 |
|
| 2015 |
Shujie MA, Carroll RJ, Liang H, Xu S. Estimation and Inference in Generalized Additive Coefficient Models for Nonlinear Interactions with High-Dimensional Covariates. Annals of Statistics. 43: 2102-2131. PMID 26412908 DOI: 10.1214/15-Aos1344 |
0.64 |
|
| 2015 |
Yang H, Liu Y, Liang H. Focused information criterion on predictive models in personalized medicine. Biometrical Journal. Biometrische Zeitschrift. 57: 422-40. PMID 25653006 DOI: 10.1002/Bimj.201400106 |
0.396 |
|
| 2015 |
Lian H, Liang H, Carroll RJ. Variance Function Partially Linear Single-Index Models(1.) Journal of the Royal Statistical Society. Series B, Statistical Methodology. 77: 171-194. PMID 25642139 DOI: 10.1111/Rssb.12066 |
0.584 |
|
| 2015 |
Wang T, Zhang J, Liang H, Zhu L. Estimation of a groupwise additive multiple-index model and its applications Statistica Sinica. 25: 551. DOI: 10.5705/Ss.2013.175 |
0.466 |
|
| 2015 |
Fang Y, Lian H, Liang H, Ruppert D. Variance function additive partial linear models Electronic Journal of Statistics. 9: 2793-2827. DOI: 10.1214/15-Ejs1080 |
0.522 |
|
| 2015 |
Chen J, Li D, Liang H, Wang S. Semiparametric GEE analysis in partially linear single-index models for longitudinal data The Annals of Statistics. 43: 1682-1715. DOI: 10.1214/15-Aos1320 |
0.523 |
|
| 2015 |
Zhang J, Feng Z, Xu P, Liang H. Generalized varying coefficient partially linear measurement errors models Annals of the Institute of Statistical Mathematics. DOI: 10.1007/S10463-015-0532-Y |
0.498 |
|
| 2014 |
Jiang Z, Du C, Jablensky A, Liang H, Lu Z, Ma Y, Teo KL. Analysis of schizophrenia data using a nonlinear threshold index logistic model. Plos One. 9: e109454. PMID 25330160 DOI: 10.1371/Journal.Pone.0109454 |
0.365 |
|
| 2014 |
Wu H, Lu T, Xue H, Liang H. Sparse Additive Ordinary Differential Equations for Dynamic Gene Regulatory Network Modeling. Journal of the American Statistical Association. 109: 700-716. PMID 25061254 DOI: 10.1080/01621459.2013.859617 |
0.421 |
|
| 2014 |
Lian H, Liang H, Wang L. Generalized additive partial linear models for clustered data with diverging number of covariates using gee Statistica Sinica. 24: 173-196. DOI: 10.5705/Ss.2012-027 |
0.525 |
|
| 2014 |
Ma S, Zhang J, Sun Z, Liang H. Integrated conditional moment test for partially linear single index models incorporating dimension-reduction Electronic Journal of Statistics. 8: 523-542. DOI: 10.1214/14-Ejs893 |
0.361 |
|
| 2014 |
Wang L, Xue L, Qu A, Liang H. Estimation and model selection in generalized additive partial linear models for correlated data with diverging number of covariates Annals of Statistics. 42: 592-624. DOI: 10.1214/13-Aos1194 |
0.535 |
|
| 2014 |
Zhang X, Zou G, Liang H. Model averaging and weight choice in linear mixed-effects models Biometrika. 101: 205-218. DOI: 10.1093/Biomet/Ast052 |
0.532 |
|
| 2014 |
Yi M, Deng G, Liang H. Cramér Asymptotic Efficiency in a Semiparametric Model Communications in Statistics - Theory and Methods. 43: 2618-2628. DOI: 10.1080/03610926.2012.661508 |
0.48 |
|
| 2014 |
Zhang J, Yu Y, Zhou B, Liang H. Nonlinear measurement error models subject to additive distortion Journal of Statistical Planning and Inference. 150: 49-65. DOI: 10.1016/J.Jspi.2014.03.005 |
0.52 |
|
| 2014 |
Ma S, Liang H, Tsai C. Partially linear single index models for repeated measurements Journal of Multivariate Analysis. 130: 354-375. DOI: 10.1016/J.Jmva.2014.06.011 |
0.518 |
|
| 2014 |
Lian H, Du P, Li Y, Liang H. Partially linear structure identification in generalized additive models with NP-dimensionality Computational Statistics & Data Analysis. 80: 197-208. DOI: 10.1016/J.Csda.2014.06.021 |
0.437 |
|
| 2013 |
Yu Y, Thurston SW, Hauser R, Liang H. Model Averaging Procedure for Partially Linear Single-index Models. Journal of Statistical Planning and Inference. 143: 2160-2170. PMID 24839347 DOI: 10.1016/J.Jspi.2013.05.002 |
0.543 |
|
| 2013 |
Zhang H, Holden-Wiltse J, Wang J, Liang H. A strategy to model nonmonotonic dose-response curve and estimate IC50. Plos One. 8: e69301. PMID 23936323 DOI: 10.1371/Journal.Pone.0069301 |
0.378 |
|
| 2013 |
Lian H, Lai P, Liang H. Partially linear structure selection in Cox models with varying coefficients. Biometrics. 69: 348-57. PMID 23796105 DOI: 10.1111/Biom.12024 |
0.499 |
|
| 2013 |
Liang H, Yu Y. Parameter estimation for HIV ODE models incorporating longitudinal structure Statistics and Its Interface. 6: 9-18. DOI: 10.4310/Sii.2013.V6.N1.A2 |
0.382 |
|
| 2013 |
Lian H, Liang H. Generalized additive partial linear models with high-dimensional covariates Econometric Theory. 29: 1136-1161. DOI: 10.1017/S0266466613000029 |
0.519 |
|
| 2012 |
Liu X, Peng Y, Tu D, Liang H. Variable selection in semiparametric cure models based on penalized likelihood, with application to breast cancer clinical trials. Statistics in Medicine. 31: 2882-91. PMID 22733695 DOI: 10.1002/Sim.5378 |
0.391 |
|
| 2012 |
Wang L, Du P, Liang H. Two-component mixture cure rate model with spline estimated nonparametric components. Biometrics. 68: 726-35. PMID 22169032 DOI: 10.1111/J.1541-0420.2011.01715.X |
0.442 |
|
| 2012 |
Zhang J, Wang T, Zhu L, Liang H. A dimension reduction based approach for estimation and variable selection in partially linear single-index models with high-dimensional covariates Electronic Journal of Statistics. 6: 2235-2273. DOI: 10.1214/12-Ejs744 |
0.469 |
|
| 2012 |
Liang H, Du P. Maximum likelihood estimation in logistic regression models with a diverging number of covariates Electronic Journal of Statistics. 6: 1838-1846. DOI: 10.1214/12-Ejs731 |
0.5 |
|
| 2012 |
Chen B, Yu Y, Zou H, Liang H. Profiled adaptive Elastic-Net procedure for partially linear models with high-dimensional covariates Journal of Statistical Planning and Inference. 142: 1733-1745. DOI: 10.1016/J.Jspi.2012.02.035 |
0.396 |
|
| 2012 |
Zhang J, Zhu L, Liang H. Nonlinear models with measurement errors subject to single-indexed distortion Journal of Multivariate Analysis. 112: 1-23. DOI: 10.1016/J.Jmva.2012.05.012 |
0.52 |
|
| 2012 |
Du P, Cheng G, Liang H. Semiparametric regression models with additive nonparametric components and high dimensional parametric components Computational Statistics & Data Analysis. 56: 2006-2017. DOI: 10.1016/J.Csda.2011.12.007 |
0.476 |
|
| 2012 |
Zhang X, Zou G, Liang H. Choice of weights in FMA estimators under general parametric models Science China Mathematics. 56: 443-457. DOI: 10.1007/S11425-012-4545-1 |
0.411 |
|
| 2012 |
Sun Z, Xie T, Liang H. Statistical inference for right-censored data with nonignorable missing censoring indicators Science China Mathematics. 56: 1263-1278. DOI: 10.1007/S11425-012-4492-X |
0.447 |
|
| 2012 |
Zhang J, Yu Y, Zhu L, Liang H. Partial linear single index models with distortion measurement errors Annals of the Institute of Statistical Mathematics. 65: 237-267. DOI: 10.1007/S10463-012-0371-Z |
0.543 |
|
| 2011 |
Wang L, Liu X, Liang H, Carroll RJ. ESTIMATION AND VARIABLE SELECTION FOR GENERALIZED ADDITIVE PARTIAL LINEAR MODELS. Annals of Statistics. 39: 1827-1851. PMID 23243324 DOI: 10.1214/11-Aos885 |
0.631 |
|
| 2011 |
Lu T, Liang H, Li H, Wu H. High Dimensional ODEs Coupled with Mixed-Effects Modeling Techniques for Dynamic Gene Regulatory Network Identification. Journal of the American Statistical Association. 106: 1242-1258. PMID 23204614 DOI: 10.1198/Jasa.2011.Ap10194 |
0.385 |
|
| 2011 |
Liu X, Wang L, Liang H. Estimation and Variable Selection for Semiparametric Additive Partial Linear Models (SS-09-140). Statistica Sinica. 21: 1225-1248. PMID 21894241 DOI: 10.5705/Ss.2009.140 |
0.504 |
|
| 2011 |
Leng C, Liang H, Martinson N. Parametric variable selection in generalized partially linear models with an application to assess condom use by HIV-infected patients. Statistics in Medicine. 30: 2015-27. PMID 21465515 DOI: 10.1002/Sim.4233 |
0.45 |
|
| 2011 |
Su H, Zhou M, Liang H. Semi-parametric hybrid empirical likelihood inference for two-sample comparison with censored data. Lifetime Data Analysis. 17: 533-51. PMID 21399910 DOI: 10.1007/s10985-011-9194-0 |
0.308 |
|
| 2011 |
Wang L, Liu X, Liang H, Carroll RJ. Estimation and variable selection for generalized additive partial linear models Annals of Statistics. 39: 1827-1851. DOI: 10.1214/11-AOS885 |
0.56 |
|
| 2011 |
Zhang X, Liang H. Focused information criterion and model averaging for generalized additive partial linear models The Annals of Statistics. 39: 174-200. DOI: 10.1214/10-Aos832 |
0.535 |
|
| 2011 |
Liang H, Zou G, Wan ATK, Zhang X. Optimal Weight Choice for Frequentist Model Average Estimators Journal of the American Statistical Association. 106: 1053-1066. DOI: 10.1198/Jasa.2011.Tm09478 |
0.496 |
|
| 2011 |
Chen R, Liang H, Wang J. Determination of linear components in additive models Journal of Nonparametric Statistics. 23: 367-383. DOI: 10.1080/10485252.2010.520713 |
0.472 |
|
| 2011 |
Li X, Wang J, Liang H. Comparison of several means: A fiducial based approach Computational Statistics & Data Analysis. 55: 1993-2002. DOI: 10.1016/J.Csda.2010.12.009 |
0.325 |
|
| 2010 |
Liang H, Liu X, Li R, Tsai CL. ESTIMATION AND TESTING FOR PARTIALLY LINEAR SINGLE-INDEX MODELS. Annals of Statistics. 38: 3811-3836. PMID 21625330 DOI: 10.1214/10-Aos835 |
0.527 |
|
| 2010 |
Liang H, Miao H, Wu H. ESTIMATION OF CONSTANT AND TIME-VARYING DYNAMIC PARAMETERS OF HIV INFECTION IN A NONLINEAR DIFFERENTIAL EQUATION MODEL. The Annals of Applied Statistics. 4: 460-483. PMID 20556240 DOI: 10.1214/09-Aoas290 |
0.403 |
|
| 2010 |
Deng G, Liang H. Model averaging for semiparametric additive partial linear models Science China-Mathematics. 53: 1363-1376. DOI: 10.1007/S11425-010-0140-5 |
0.554 |
|
| 2009 |
Liang H, Qin Y, Zhang X, Ruppert D. Empirical-Likelihood-Based Inferences for Generalized Partially Linear Models. Scandinavian Journal of Statistics, Theory and Applications. 36: 433-443. PMID 21113340 |
0.387 |
|
| 2009 |
Xue L, Liang H. Polynomial Spline Estimation for A Generalized Additive Coefficient Model. Scandinavian Journal of Statistics, Theory and Applications. 37: 26-46. PMID 20216928 DOI: 10.1111/J.1467-9469.2009.00655.X |
0.516 |
|
| 2009 |
Liang H, Su H, Thurston SW, Meeker JD, Hauser R. Empirical Likelihood based Inference for Additive Partial Linear Measurement Error Models. Statistics and Its Interface. 36: 433-443. PMID 20161079 DOI: 10.1111/J.1467-9469.2008.00632.X |
0.464 |
|
| 2009 |
Liang H, Song W. Improved Estimation in Multiple Linear Regression Models with Measurement Error and General Constraint. Journal of Multivariate Analysis. 100: 726-741. PMID 20160857 DOI: 10.1016/J.Jmva.2008.08.003 |
0.493 |
|
| 2009 |
Yi GY, He W, Liang H. Analysis of Correlated Binary Data under Partially Linear Single-Index Logistic Models. Journal of Multivariate Analysis. 100: 278-290. PMID 20126288 DOI: 10.1016/J.Jmva.2008.04.012 |
0.385 |
|
| 2009 |
Liang H, Li R. Variable Selection for Partially Linear Models with Measurement Errors. Journal of the American Statistical Association. 104: 234-248. PMID 20046976 DOI: 10.1198/Jasa.2009.0127 |
0.461 |
|
| 2009 |
Yi GY, He W, Liang H. Semiparametric marginal and association regression methods for clustered binary data Annals of the Institute of Statistical Mathematics. 63: 511-533. DOI: 10.1007/S10463-009-0239-Z |
0.347 |
|
| 2009 |
Liang H. Generalized partially linear mixed-effects models incorporating mismeasured covariates Annals of the Institute of Statistical Mathematics. 61: 27-46. DOI: 10.1007/S10463-007-0146-0 |
0.53 |
|
| 2008 |
Liang H, Thurston SW, Ruppert D, Apanasovich T, Hauser R. Additive Partial Linear Models with Measurement Errors. Biometrika. 95. PMID 24198435 DOI: 10.1093/Biomet/Asn024 |
0.759 |
|
| 2008 |
Li R, Liang H. Variable Selection in Semiparametric Regression Modeling. Annals of Statistics. 36: 261-286. PMID 19122808 DOI: 10.1214/009053607000000604 |
0.497 |
|
| 2008 |
Huang Y, Liang H, Wu H. Identifying significant covariates for anti-HIV treatment response : Mechanism-based differential equation models and empirical semiparametric regression models Statistics in Medicine. 27: 4722-4739. PMID 18407583 DOI: 10.1002/Sim.3272 |
0.411 |
|
| 2008 |
Liang H. Generalized partially linear models with missing covariates Journal of Multivariate Analysis. 99: 880-895. DOI: 10.1016/J.Jmva.2007.05.004 |
0.53 |
|
| 2008 |
Liang H, Zou G. Improved AIC selection strategy for survival analysis Computational Statistics and Data Analysis. 52: 2538-2548. DOI: 10.1016/J.Csda.2007.09.003 |
0.328 |
|
| 2007 |
Liang H, Wang S, Carroll RJ. Partially Linear Models with Missing Response Variables and Error-prone Covariates. Biometrika. 94: 185-198. PMID 20209027 DOI: 10.1093/Biomet/Asm010 |
0.572 |
|
| 2007 |
Liang H, Zou G. Analysis of relation between virologic responses and immunologic responses, patient's factors in AIDS clinical trials using a semiparametric mixed-effects model Biometrical Journal. 49: 406-415. PMID 17623345 DOI: 10.1002/Bimj.200610294 |
0.355 |
|
| 2007 |
He Y, Huang W, Liang H. Axiomatic Development of Profile Likelihoods as the Strength of Evidence for Composite Hypotheses Communications in Statistics-Theory and Methods. 36: 2695-2706. DOI: 10.1080/03610920701386869 |
0.325 |
|
| 2006 |
Liang H. Estimation in partially linear models and numerical comparisons Computational Statistics and Data Analysis. 50: 675-687. DOI: 10.1016/J.Csda.2004.10.007 |
0.469 |
|
| 2005 |
Liang H. Modeling antitumor activity in xenograft tumor treatment Biometrical Journal. 47: 358-368. PMID 16053259 DOI: 10.1002/Bimj.200310113 |
0.396 |
|
| 2005 |
Liang H, Ren H. Generalized Partially Linear Measurement Error Models Journal of Computational and Graphical Statistics. 14: 237-250. DOI: 10.1198/106186005X37481 |
0.51 |
|
| 2004 |
Liang H, Wang S, Robins JM, Carroll RJ. Estimation in Partially Linear Models With Missing Covariates Journal of the American Statistical Association. 99: 357-367. DOI: 10.1198/016214504000000421 |
0.613 |
|
| 2004 |
Wu H, Liang H. Backfitting Random Varying-Coefficient Models with Time-Dependent Smoothing Covariates Scandinavian Journal of Statistics. 31: 3-19. DOI: 10.1111/J.1467-9469.2004.00369.X |
0.494 |
|
| 2004 |
Wu H, Zhao C, Liang H. Comparison of linear, nonlinear and semiparametric mixed-effects models for estimating HIV dynamic parameters Biometrical Journal. 46: 233-245. DOI: 10.1002/Bimj.200310019 |
0.467 |
|
| 2003 |
Liang H, Wu H, Carroll RJ. The relationship between virologic and immunologic responses in AIDS clinical research using mixed-effects varying-coefficient models with measurement error. Biostatistics (Oxford, England). 4: 297-312. PMID 12925523 DOI: 10.1093/Biostatistics/4.2.297 |
0.53 |
|
| 2003 |
Liang H, Härdle W. 3. Statistical Models for Biomedical Research Journal of the Japanese Society of Computational Statistics. 15: 89-104. DOI: 10.5183/Jjscs1988.15.2_89 |
0.331 |
|
| 1999 |
Carroll RJ, H�rdle W, Liang H. errors-in-variables model The Annals of Statistics. 27: 1519-1535. DOI: 10.1214/Aos/1017939140 |
0.552 |
|
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