308
Views
93
CrossRef citations to date
0
Altmetric
Primary Article

Estimation in Partially Linear Models With Missing Covariates

, , &
Pages 357-367 | Published online: 31 Dec 2011

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (24)

Dixin Zhang, Yulin Wang & Hua Liang. (2023) A Novel Estimation Method in Generalized Single Index Models. Journal of Business & Economic Statistics 41:2, pages 399-413.
Read now
Yuqi Zhai & Peisong Han. (2022) Data Integration with Oracle Use of External Information from Heterogeneous Populations. Journal of Computational and Graphical Statistics 31:4, pages 1001-1012.
Read now
Rui Li, Chenlei Leng & Jinhong You. (2022) Semiparametric Tail Index Regression. Journal of Business & Economic Statistics 40:1, pages 82-95.
Read now
Xiuli Wang, Peixin Zhao & Haiyan Du. (2021) Statistical inferences for varying coefficient partially non linear model with missing covariates. Communications in Statistics - Theory and Methods 50:11, pages 2599-2618.
Read now
Aurore Delaigle, Wei Huang & Shaoke Lei. (2020) Estimation of Conditional Prevalence From Group Testing Data With Missing Covariates. Journal of the American Statistical Association 115:529, pages 467-480.
Read now
Alpha Oumar Diallo, Aliou Diop & Jean-François Dupuy. (2019) Estimation in zero-inflated binomial regression with missing covariates. Statistics 53:4, pages 839-865.
Read now
Gary Madden, Nicholas Apergis, Paul Rappoport & Aniruddha Banerjee. (2018) An application of nonparametric regression to missing data in large market surveys. Journal of Applied Statistics 45:7, pages 1292-1302.
Read now
Yu Shen, Han-Ying Liang & Guo-Liang Fan. (2018) Penalized empirical likelihood for quantile regression with missing covariates and auxiliary information. Communications in Statistics - Theory and Methods 47:8, pages 2001-2021.
Read now
Jing Sun. (2017) Weighted quantile average estimation for general linear models with missing covariates. Communications in Statistics - Theory and Methods 46:17, pages 8706-8722.
Read now
Xiaohui Liu. (2017) Empirical likelihood for the response mean of generalized linear models with missing at random responses. Communications in Statistics - Simulation and Computation 46:1, pages 164-173.
Read now
Baicheng Chen, Hua Liang & Yong Zhou. (2016) GMM estimation in partial linear models with endogenous covariates causing an over-identified problem. Communications in Statistics - Theory and Methods 45:11, pages 3168-3184.
Read now
Hu Yang, Chaohui Guo & Jing Lv. (2016) Penalized inverse probability weighted estimators for weighted rank regression with missing covariates. Communications in Statistics - Theory and Methods 45:5, pages 1388-1402.
Read now
Tingting Li & Hu Yang. (2016) Inverse probability weighted estimators for single-index models with missing covariates. Communications in Statistics - Theory and Methods 45:5, pages 1199-1214.
Read now
Tianfa Xie, Zhihua Sun & Liuquan Sun. (2012) A consistent model specification test for a partial linear model with covariates missing at random. Journal of Nonparametric Statistics 24:4, pages 841-856.
Read now
X.H. Liu, Z.Z. Wang & X.M. Hu. (2012) Estimation in Partially Linear Single-Index Models with Missing Covariates. Communications in Statistics - Theory and Methods 41:18, pages 3428-3447.
Read now
Guoyou Qin, Zhongyi Zhu & Wing K. Fung. (2012) Robust estimation of the generalised partial linear model with missing covariates. Journal of Nonparametric Statistics 24:2, pages 517-530.
Read now
Tao Zhang & Zhongyi Zhu. (2011) Empirical Likelihood Inference for Longitudinal Data with Missing Response Variables and Error-Prone Covariates. Communications in Statistics - Theory and Methods 40:18, pages 3230-3244.
Read now
Yongsong Qin & Jianjun Li. (2011) Empirical likelihood for partially linear models with missing responses at random. Journal of Nonparametric Statistics 23:2, pages 497-511.
Read now
Xiaohui Liu, Zhizhong Wang & Xuemei Hu. (2011) Testing heteroscedasticity in partially linear models with missing covariates. Journal of Nonparametric Statistics 23:2, pages 321-337.
Read now
Yongsong Qin & Yinghua Li. (2011) Empirical Likelihood for Partially Linear Models with Missing Responses: The Fixed Design Case. Communications in Statistics - Theory and Methods 40:10, pages 1849-1865.
Read now
Na Li, Xingzhong Xu & Pei Jin. (2011) Testing the linearity in partially linear models. Journal of Nonparametric Statistics 23:1, pages 99-114.
Read now
Lu Wang, Andrea Rotnitzky & Xihong Lin. (2010) Nonparametric Regression With Missing Outcomes Using Weighted Kernel Estimating Equations. Journal of the American Statistical Association 105:491, pages 1135-1146.
Read now
Sanzhi Shi & Lixin Song. (2010) Comparison of Nonparametric Components in Two Partially Linear Models. Communications in Statistics - Theory and Methods 39:10, pages 1799-1816.
Read now

Articles from other publishers (69)

Liugen Xue & Junshan Xie. (2023) Efficient robust estimation for single-index mixed effects models with missing observations. Statistical Papers.
Crossref
Xiao-hui Liu, Yu Wang, Ya-wen Fan & Yu-zi Liu. (2022) Statistical Inferences in a Partially Linear Model with Autoregressive Errors. Acta Mathematicae Applicatae Sinica, English Series 38:4, pages 822-842.
Crossref
Yunquan Song, Yaqi Liu & Hang Su. (2022) Robust Variable Selection for Single-Index Varying-Coefficient Model with Missing Data in Covariates. Mathematics 10:12, pages 2003.
Crossref
Li Cai, Lijie Gu, Qihua Wang & Suojin Wang. (2021) Simultaneous confidence bands for nonparametric regression with missing covariate data. Annals of the Institute of Statistical Mathematics 73:6, pages 1249-1279.
Crossref
Göran Kauermann & Mehboob Ali. (2020) Semi-parametric regression when some (expensive) covariates are missing by design. Statistical Papers 62:4, pages 1675-1696.
Crossref
Eric Han & Majid Mojirsheibani. (2020) On histogram-based regression and classification with incomplete data. Metrika 84:5, pages 635-662.
Crossref
S Annas, P Kartikasari & R Arisandi. (2021) Handling Incomplete Data with Regression Imputation. Journal of Physics: Conference Series 1752:1, pages 012049.
Crossref
Francesco Bravo. (2019) Robust estimation and inference for general varying coefficient models with missing observations. TEST 29:4, pages 966-988.
Crossref
Xiuli Wang, Yunquan Song & Shuxia Zhang. (2020) An efficient estimation for the parameter in additive partially linear models with missing covariates. Journal of the Korean Statistical Society 49:3, pages 779-801.
Crossref
Liugen Xue & Jinghua Zhang. (2020) Empirical likelihood for partially linear single-index models with missing observations. Computational Statistics & Data Analysis 144, pages 106877.
Crossref
Takuma Yoshida. (2017) Two stage smoothing in additive models with missing covariates. Statistical Papers 60:6, pages 1803-1826.
Crossref
Huilan Liu, Hu Yang & Changgen Peng. (2019) Weighted composite quantile regression for single index model with missing covariates at random. Computational Statistics 34:4, pages 1711-1740.
Crossref
Niansheng Tang & Wenjun Wang. (2019) Robust estimation of generalized estimating equations with finite mixture correlation matrices and missing covariates at random for longitudinal data. Journal of Multivariate Analysis 173, pages 640-655.
Crossref
Xiaochao Xia & Zhi Liu. (2019) Balanced augmented empirical likelihood for regression models. Journal of the Korean Statistical Society 48:2, pages 233-247.
Crossref
Zhangong Zhou & Linjun Tang. (2016) Testing for parametric component of partially linear models with missing covariates. Statistical Papers 60:3, pages 747-760.
Crossref
Ana M. Bianco, Graciela Boente, Wenceslao González-Manteiga & Ana Pérez-González. (2018) Plug-in marginal estimation under a general regression model with missing responses and covariates. TEST 28:1, pages 106-146.
Crossref
Yuya Shimizu & Takahiro Hoshino. (2020) Doubly robust‐type estimation of population moments and parameters in biased sampling. Stat 8:1.
Crossref
Na Li. 2018. Topics in Splines and Applications. Topics in Splines and Applications.
Arfan Raheen AfzalCheng DongXuewen Lu. (2017) Estimation of partly linear additive hazards model with left-truncated and right-censored data. Statistical Modelling 17:6, pages 423-448.
Crossref
M. Hristache & V. Patilea. (2017) Conditional moment models with data missing at random. Biometrika 104:3, pages 735-742.
Crossref
Stephan Dlugosz, Enno Mammen & Ralf A. Wilke. (2017) Generalized partially linear regression with misclassified data and an application to labour market transitions. Computational Statistics & Data Analysis 110, pages 145-159.
Crossref
Timothy Reese & Majid Mojirsheibani. (2016) On the $$L_p$$ norms of kernel regression estimators for incomplete data with applications to classification. Statistical Methods & Applications 26:1, pages 81-112.
Crossref
Hong-Xia Xu, Guo-Liang Fan & Han-Ying Liang. (2015) Hypothesis test on response mean with inequality constraints under data missing when covariables are present. Statistical Papers 58:1, pages 53-75.
Crossref
Yangxin Huang & Tao Lu. (2016) Bayesian inference on partially linear mixed-effects joint models for longitudinal data with multiple features. Computational Statistics 32:1, pages 179-196.
Crossref
Folefac D. Atem, Jing Qian, Jacqueline E. Maye, Keith A. Johnson & Rebecca A. Betensky. (2017) Linear Regression with a Randomly Censored Covariate: Application to an Alzheimer's Study. Journal of the Royal Statistical Society Series C: Applied Statistics 66:2, pages 313-328.
Crossref
Arindom Chakraborty. (2016) Bounded influence function based inference in joint modelling of ordinal partial linear model and accelerated failure time model. Statistical Methods in Medical Research 25:6, pages 2714-2732.
Crossref
Ben Sherwood. (2016) Variable selection for additive partial linear quantile regression with missing covariates. Journal of Multivariate Analysis 152, pages 206-223.
Crossref
Qixuan Chen, Myunghee Cho Paik, Minjin Kim & Cuiling Wang. (2016) Using link-preserving imputation for logistic partially linear models with missing covariates. Computational Statistics & Data Analysis 101, pages 174-185.
Crossref
Hu Yang & Huilan Liu. (2014) Penalized weighted composite quantile estimators with missing covariates. Statistical Papers 57:1, pages 69-88.
Crossref
Linjun Tang & Zhangong Zhou. (2015) Weighted local linear CQR for varying-coefficient models with missing covariates. TEST 24:3, pages 583-604.
Crossref
Francesco Bravo. (2015) Semiparametric estimation with missing covariates. Journal of Multivariate Analysis 139, pages 329-346.
Crossref
Xiao-hui Liu. (2015) Empirical likelihood-based inferences in varying coefficient models with missing data. Acta Mathematicae Applicatae Sinica, English Series 31:3, pages 823-840.
Crossref
Zijun Ning & Linjun Tang. (2014) Estimation and test procedures for composite quantile regression with covariates missing at random. Statistics & Probability Letters 95, pages 15-25.
Crossref
Peng Lai & Qihua Wang. (2014) Semiparametric efficient estimation for partially linear single-index models with responses missing at random. Journal of Multivariate Analysis 128, pages 33-50.
Crossref
Yong-song Qin & Ying-hua Li. (2014) Estimation for partially linear models with missing responses: the fixed design case. Acta Mathematicae Applicatae Sinica, English Series 30:2, pages 447-472.
Crossref
S. Ejaz AhmedS. Ejaz Ahmed. 2014. Penalty, Shrinkage and Pretest Strategies. Penalty, Shrinkage and Pretest Strategies 77 99 .
Pei Xin Zhao. (2013) Imputed Estimation For Varying Coefficient Models with Missing Covariates. Advanced Materials Research 787, pages 1089-1092.
Crossref
Yun-bei Ma, Jin-hong You & Yong Zhou. (2013) Generalized profile LSE in varying-coefficient partially linear models with measurement errors. Acta Mathematicae Applicatae Sinica, English Series 29:3, pages 477-490.
Crossref
Baojiang ChenXiao‐Hua Zhou. (2013) Generalized Partially Linear Models for Incomplete Longitudinal Data In the Presence of Population‐Level Information. Biometrics 69:2, pages 386-395.
Crossref
Wangli Xu & Xu Guo. (2012) Checking the adequacy of partial linear models with missing covariates at random. Annals of the Institute of Statistical Mathematics 65:3, pages 473-490.
Crossref
Peixin Zhao. (2013) Imputed Empirical Likelihood for Varying Coefficient Models with Missing Covariates. Open Journal of Applied Sciences 03:01, pages 44-48.
Crossref
Lan Wang, Bo Kai, Cédric Heuchenne & Chih-Ling Tsai. (2013) Penalized profiled semiparametric estimating functions. Electronic Journal of Statistics 7:none.
Crossref
Jun Zhang, Tao Wang, Lixing Zhu & Hua Liang. (2012) 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:none.
Crossref
Ying-Zi Fu & Xue-Dong Chen. (2012) Model selection of generalized partially linear models with missing covariates. Journal of Statistical Planning and Inference 142:1, pages 126-138.
Crossref
Ziqi Chen, Ning-Zhong Shi, Wei Gao & Man-Lai Tang. (2011) Efficient semiparametric estimation via Cholesky decomposition for longitudinal data. Computational Statistics & Data Analysis 55:12, pages 3344-3354.
Crossref
Yiping Yang, Liugen Xue & Weihu Cheng. (2011) Two-step estimators in partial linear models with missing response variables and error-prone covariates. Journal of Systems Science and Complexity 24:6, pages 1165-1182.
Crossref
Qingzhu Lei & Yongsong Qin. (2011) Confidence intervals for nonparametric regression functions with missing data: Multiple design case. Journal of Systems Science and Complexity 24:6, pages 1204-1217.
Crossref
Juan Zhang & Hengjian Cui. (2010) Empirical likelihood confidence region for parameters in linear errors-in-variables models with missing data. Journal of Systems Science and Complexity 24:3, pages 540-553.
Crossref
Grace Y. Yi, Wenqing He & Hua Liang. (2009) Semiparametric marginal and association regression methods for clustered binary data. Annals of the Institute of Statistical Mathematics 63:3, pages 511-533.
Crossref
Liugen Xue & Dong Xue. (2011) Empirical likelihood for semiparametric regression model with missing response data. Journal of Multivariate Analysis 102:4, pages 723-740.
Crossref
Robin Mitra & Jerome P. Reiter. (2011) Estimating propensity scores with missing covariate data using general location mixture models. Statistics in Medicine 30:6, pages 627-641.
Crossref
Qing-zhu Lei & Yong-song Qin. (2010) Empilrical likelihood for non-parametric regression models with missing responses: Multiple design case. Acta Mathematicae Applicatae Sinica, English Series 27:1, pages 1-12.
Crossref
Huimin Hu, Xingzhong Xu & Guoying Li. (2010) Generalized p-values for testing regression coefficients in partially linear models. Journal of Systems Science and Complexity 23:6, pages 1118-1132.
Crossref
Victor Chernozhukov, Roberto Rigobon & Thomas M. Stoker. (2010) Set identification and sensitivity analysis with Tobin regressors. Quantitative Economics 1:2, pages 255-277.
Crossref
LEI JIN & SUOJIN WANG. (2010) A Model Validation Procedure when Covariate Data are Missing at Random. Scandinavian Journal of Statistics 37:3, pages 403-421.
Crossref
Yiping Yang, Liugen Xue & Weihu Cheng. (2009) Empirical likelihood for a partially linear model with covariate data missing at random. Journal of Statistical Planning and Inference 139:12, pages 4143-4153.
Crossref
HUA LIANG, YONGSONG QIN, XINYU ZHANG & DAVID RUPPERT. (2009) Empirical Likelihood-Based Inferences for Generalized Partially Linear Models. Scandinavian Journal of Statistics 36:3, pages 433-443.
Crossref
Heung Wong, Shaojun Guo, Min Chen & Wai-Cheung IP. (2009) On locally weighted estimation and hypothesis testing of varying-coefficient models with missing covariates. Journal of Statistical Planning and Inference 139:9, pages 2933-2951.
Crossref
Yongsong Qin, Ling Li & Qingzhu Lei. (2009) Empirical likelihood for linear regression models with missing responses. Statistics & Probability Letters 79:11, pages 1391-1396.
Crossref
S. Hossain, Kjell A. Doksum & S. Ejaz Ahmed. (2009) Positive shrinkage, improved pretest and absolute penalty estimators in partially linear models. Linear Algebra and its Applications 430:10, pages 2749-2761.
Crossref
Qi-Hua Wang. (2007) Statistical estimation in partial linear models with covariate data missing at random. Annals of the Institute of Statistical Mathematics 61:1, pages 47-84.
Crossref
Grace Y. Yi, Wenqing He & Hua Liang. (2009) Analysis of correlated binary data under partially linear single-index logistic models. Journal of Multivariate Analysis 100:2, pages 278-290.
Crossref
Hua Liang & Yongsong Qin. (2008) EMPIRICAL LIKELIHOOD-BASED INFERENCES FOR PARTIALLY LINEAR MODELS WITH MISSING COVARIATES. Australian & New Zealand Journal of Statistics 50:4, pages 347-359.
Crossref
Hua Liang, Haiyan Su & Guohua Zou. (2008) Confidence intervals for a common mean with missing data with applications in an AIDS study. Computational Statistics & Data Analysis 53:2, pages 546-553.
Crossref
Hua Liang. (2008) Generalized partially linear models with missing covariates. Journal of Multivariate Analysis 99:5, pages 880-895.
Crossref
S. Ejaz Ahmed, Kjell A. Doksum, S. Hossain & Jinhong You. (2007) SHRINKAGE, PRETEST AND ABSOLUTE PENALTY ESTIMATORS IN PARTIALLY LINEAR MODELS. Australian & New Zealand Journal of Statistics 49:4, pages 435-454.
Crossref
Roberto Rigobon & Thomas M. Stoker. (2007) ESTIMATION WITH CENSORED REGRESSORS: BASIC ISSUES*. International Economic Review 48:4, pages 1441-1467.
Crossref
C. Wang, S.-M. Lee & E. C. Chao. (2006) Numerical equivalence of imputing scores and weighted estimators in regression analysis with missing covariates. Biostatistics 8:2, pages 468-473.
Crossref
Hua Liang. (2016) Checking linearity of non-parametric component in partially linear models with an application in systemic inflammatory response syndrome study. Statistical Methods in Medical Research 15:3, pages 273-284.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.