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 *

126 related articles for article (PubMed ID: 35083356)

  • 1. Nonparametric Mass Imputation for Data Integration.
    Chen S; Yang S; Kim JK
    J Surv Stat Methodol; 2022 Feb; 10(1):1-24. PubMed ID: 35083356
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Combining Probability and Nonprobability Samples by Using Multivariate Mass Imputation Approaches with Application to Biomedical Research.
    Chen S; Woodruff AM; Campbell J; Vesely S; Xu Z; Snider C
    Stats (Basel); 2023 Jun; 6(2):617-625. PubMed ID: 37901444
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Doubly robust multiple imputation using kernel-based techniques.
    Hsu CH; He Y; Li Y; Long Q; Friese R
    Biom J; 2016 May; 58(3):588-606. PubMed ID: 26647734
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Semiparametric imputation using conditional Gaussian mixture models under item nonresponse.
    Lee D; Kim JK
    Biometrics; 2022 Mar; 78(1):227-237. PubMed ID: 33247943
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Outcome-sensitive multiple imputation: a simulation study.
    Kontopantelis E; White IR; Sperrin M; Buchan I
    BMC Med Res Methodol; 2017 Jan; 17(1):2. PubMed ID: 28068910
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Variable selection with missing data in both covariates and outcomes: Imputation and machine learning.
    Hu L; Joyce Lin JY; Ji J
    Stat Methods Med Res; 2021 Dec; 30(12):2651-2671. PubMed ID: 34696650
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A two-step semiparametric method to accommodate sampling weights in multiple imputation.
    Zhou H; Elliott MR; Raghunathan TE
    Biometrics; 2016 Mar; 72(1):242-52. PubMed ID: 26393409
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Nearest neighbor ratio imputation with incomplete multinomial outcome in survey sampling.
    Gao C; Thompson KJ; Kim JK; Yang S
    J R Stat Soc Ser A Stat Soc; 2022 Oct; 185(4):1903-1930. PubMed ID: 36778894
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Model-based standardization using multiple imputation.
    Remiro-Azócar A; Heath A; Baio G
    BMC Med Res Methodol; 2024 Feb; 24(1):32. PubMed ID: 38341552
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Parametrically Guided Generalized Additive Models with Application to Mergers and Acquisitions Data.
    Fan J; Maity A; Wang Y; Wu Y
    J Nonparametr Stat; 2013 Jan; 25(1):109-128. PubMed ID: 23645976
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Evaluation of multiple imputation approaches for handling missing covariate information in a case-cohort study with a binary outcome.
    Middleton M; Nguyen C; Moreno-Betancur M; Carlin JB; Lee KJ
    BMC Med Res Methodol; 2022 Apr; 22(1):87. PubMed ID: 35369860
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Generalized mean residual life models for survival data with missing censoring indicators.
    Li W; Ma H; Faraggi D; Dinse GE
    Stat Med; 2023 Feb; 42(3):264-280. PubMed ID: 36437483
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Fitting additive hazards models for case-cohort studies: a multiple imputation approach.
    Jung J; Harel O; Kang S
    Stat Med; 2016 Jul; 35(17):2975-90. PubMed ID: 26194861
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Analysis of accelerated failure time data with dependent censoring using auxiliary variables via nonparametric multiple imputation.
    Hsu CH; Taylor JM; Hu C
    Stat Med; 2015 Aug; 34(19):2768-80. PubMed ID: 25999295
    [TBL] [Abstract][Full Text] [Related]  

  • 15. TIGAR: An Improved Bayesian Tool for Transcriptomic Data Imputation Enhances Gene Mapping of Complex Traits.
    Nagpal S; Meng X; Epstein MP; Tsoi LC; Patrick M; Gibson G; De Jager PL; Bennett DA; Wingo AP; Wingo TS; Yang J
    Am J Hum Genet; 2019 Aug; 105(2):258-266. PubMed ID: 31230719
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. A robust imputation method for missing responses and covariates in sample selection models.
    Ogundimu EO; Collins GS
    Stat Methods Med Res; 2019 Jan; 28(1):102-116. PubMed ID: 28679340
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. 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]  

  • 20. Cox regression analysis with missing covariates via nonparametric multiple imputation.
    Hsu CH; Yu M
    Stat Methods Med Res; 2019 Jun; 28(6):1676-1688. PubMed ID: 29717943
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.