These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

110 related articles for article (PubMed ID: 21731174)

  • 1. Dimension reduced kernel estimation for distribution function with incomplete data.
    Hu Z; Follmann DA; Qin J
    J Stat Plan Inference; 2011 Sep; 141(9):3084-3093. PubMed ID: 21731174
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Semiparametric dimension reduction estimation for mean response with missing data.
    Hu Z; Follmann DA; Qin J
    Biometrika; 2010 Jun; 97(2):305-319. PubMed ID: 23049121
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Semiparametric pseudoscore for regression with multidimensional but incompletely observed regressor.
    Hu Z; Qin J; Follmann D
    Stat Med; 2018 Jan; 37(2):207-217. PubMed ID: 28211087
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Adjustment for missingness using auxiliary information in semiparametric regression.
    Zeng D; Chen Q
    Biometrics; 2010 Mar; 66(1):115-22. PubMed ID: 19432773
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Semiparametric approach for non-monotone missing covariates in a parametric regression model.
    Sinha S; Saha KK; Wang S
    Biometrics; 2014 Jun; 70(2):299-311. PubMed ID: 24571224
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Dimension reduction and estimation in the secondary analysis of case-control studies.
    Liang L; Carroll R; Ma Y
    Electron J Stat; 2018; 12(1):1782-1821. PubMed ID: 30100949
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Counting process-based dimension reduction methods for censored outcomes.
    Sun Q; Zhu R; Wang T; Zeng D
    Biometrika; 2019 Mar; 106(1):181-196. PubMed ID: 30799878
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A ROBUST AND EFFICIENT APPROACH TO CAUSAL INFERENCE BASED ON SPARSE SUFFICIENT DIMENSION REDUCTION.
    Ma S; Zhu L; Zhang Z; Tsai CL; Carroll RJ
    Ann Stat; 2019 Jun; 47(3):1505-1535. PubMed ID: 31231143
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Data-Adaptive Bias-Reduced Doubly Robust Estimation.
    Vermeulen K; Vansteelandt S
    Int J Biostat; 2016 May; 12(1):253-82. PubMed ID: 27227724
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Collaborative double robust targeted maximum likelihood estimation.
    van der Laan MJ; Gruber S
    Int J Biostat; 2010 May; 6(1):Article 17. PubMed ID: 20628637
    [TBL] [Abstract][Full Text] [Related]  

  • 11. SEMIPARAMETRIC REGRESSION WITH TIME-DEPENDENT COEFFICIENTS FOR FAILURE TIME DATA ANALYSIS.
    Yu Z; Lin X
    Stat Sin; 2010 Apr; 20(2):853-869. PubMed ID: 20514365
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identification and inference with nonignorable missing covariate data.
    Miao W; Tchetgen Tchetgen E
    Stat Sin; 2018 Oct; 28(4):2049-2067. PubMed ID: 33343174
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Empirical Likelihood in Nonignorable Covariate-Missing Data Problems.
    Xie Y; Zhang B
    Int J Biostat; 2017 Apr; 13(1):. PubMed ID: 28441139
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Estimation of mean response via effective balancing score.
    Hu Z; Follmann DA; Wang N
    Biometrika; 2014 Sep; 101(3):613-624. PubMed ID: 25797955
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Nonparametric Regression With Missing Outcomes Using Weighted Kernel Estimating Equations.
    Wang L; Rotnitzky A; Lin X
    J Am Stat Assoc; 2010 Sep; 105(491):1135-1146. PubMed ID: 23144520
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Robust estimation for homoscedastic regression in the secondary analysis of case-control data.
    Wei J; Carroll RJ; Müller UU; Van Keilegom I; Chatterjee N
    J R Stat Soc Series B Stat Methodol; 2013 Jan; 75(1):185-206. PubMed ID: 23637568
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Estimation of regression models for the mean of repeated outcomes under nonignorable nonmonotone nonresponse.
    Vansteelandt S; Rotnitzky A; Robins J
    Biometrika; 2007 Dec; 94(4):841-860. PubMed ID: 27453583
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Semiparametric Inference for Nonmonotone Missing-Not-at-Random Data: The No Self-Censoring Model.
    Malinsky D; Shpitser I; Tchetgen Tchetgen EJ
    J Am Stat Assoc; 2022; 117(539):1415-1423. PubMed ID: 36246417
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A general framework of nonparametric feature selection in high-dimensional data.
    Yu H; Wang Y; Zeng D
    Biometrics; 2023 Jun; 79(2):951-963. PubMed ID: 35318639
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Hybrid combinations of parametric and empirical likelihoods.
    Hjort NL; McKeague IW; Van Keilegom I
    Stat Sin; 2018 Oct; 28(4):2389-2407. PubMed ID: 31263346
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.