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 *

177 related articles for article (PubMed ID: 23946546)

  • 1. Pseudo-partial likelihood estimators for the Cox regression model with missing covariates.
    Luo X; Tsai WY; Xu Q
    Biometrika; 2009 Sep; 96(3):617-633. PubMed ID: 23946546
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Estimation in the semiparametric accelerated failure time model with missing covariates: improving efficiency through augmentation.
    Steingrimsson JA; Strawderman RL
    J Am Stat Assoc; 2017; 112(519):1221-1235. PubMed ID: 33033419
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Regression modeling of restricted mean survival time for left-truncated right-censored data.
    Rong R; Ning J; Zhu H
    Stat Med; 2022 Jul; 41(16):3003-3021. PubMed ID: 35708238
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A pairwise pseudo-likelihood approach for regression analysis of left-truncated failure time data with various types of censoring.
    Shao L; Li H; Li S; Sun J
    BMC Med Res Methodol; 2023 Apr; 23(1):82. PubMed ID: 37016341
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Robust best linear weighted estimator with missing covariates in survival analysis.
    Wang CY; Hsu L; Harrison T
    Stat Med; 2024 Apr; 43(9):1790-1803. PubMed ID: 38402690
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Augmented inverse probability weighted estimator for Cox missing covariate regression.
    Wang CY; Chen HY
    Biometrics; 2001 Jun; 57(2):414-9. PubMed ID: 11414564
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Best linear inverse probability weighted estimation for two-phase designs and missing covariate regression.
    Wang CY; Dai J
    Stat Med; 2019 Jul; 38(15):2783-2796. PubMed ID: 30908669
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Parametric Survival Model When a Covariate is Subject to Left-Censoring.
    Sattar A; Sinha SK; Morris NJ
    J Biom Biostat; 2012; Suppl 3(2):. PubMed ID: 24319625
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Cox regression with missing covariate data using a modified partial likelihood method.
    Martinussen T; Holst KK; Scheike TH
    Lifetime Data Anal; 2016 Oct; 22(4):570-88. PubMed ID: 26493471
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A maximum pseudo-profile likelihood estimator for the Cox model under length-biased sampling.
    Huang CY; Qin J; Follmann DA
    Biometrika; 2012 Mar; 99(1):199-210. PubMed ID: 23843659
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Analysis of the time-varying Cox model for the cause-specific hazard functions with missing causes.
    Heng F; Sun Y; Hyun S; Gilbert PB
    Lifetime Data Anal; 2020 Oct; 26(4):731-760. PubMed ID: 32274677
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Cox regression model with doubly truncated data.
    Rennert L; Xie SX
    Biometrics; 2018 Jun; 74(2):725-733. PubMed ID: 29073330
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Regression models for the restricted residual mean life for right-censored and left-truncated data.
    Cortese G; Holmboe SA; Scheike TH
    Stat Med; 2017 May; 36(11):1803-1822. PubMed ID: 28106926
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Pseudo-partial likelihood for proportional hazards models with biased-sampling data.
    Tsai WY
    Biometrika; 2009 Sep; 96(3):601-615. PubMed ID: 22422175
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Cox model with interval-censored covariate in cohort studies.
    Ahn S; Lim J; Paik MC; Sacco RL; Elkind MS
    Biom J; 2018 Jul; 60(4):797-814. PubMed ID: 29775990
    [TBL] [Abstract][Full Text] [Related]  

  • 16. General regression model for the subdistribution of a competing risk under left-truncation and right-censoring.
    Bellach A; Kosorok MR; Gilbert PB; Fine JP
    Biometrika; 2020 Dec; 107(4):949-964. PubMed ID: 33462536
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A pairwise pseudo-likelihood approach for left-truncated and interval-censored data under the Cox model.
    Wang P; Li D; Sun J
    Biometrics; 2021 Dec; 77(4):1303-1314. PubMed ID: 33058180
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A profile conditional likelihood approach for the semiparametric transformation regression model with missing covariates.
    Chen HY; Little RJ
    Lifetime Data Anal; 2001 Sep; 7(3):207-24. PubMed ID: 11677827
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A calibrated Bayesian method for the stratified proportional hazards model with missing covariates.
    Kim S; Kim JK; Ahn KW
    Lifetime Data Anal; 2022 Apr; 28(2):169-193. PubMed ID: 35034213
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Semiparametric estimation for the additive hazards model with left-truncated and right-censored data.
    Huang CY; Qin J
    Biometrika; 2013; 100(4):877-888. PubMed ID: 26246622
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.