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 *

162 related articles for article (PubMed ID: 26900543)

  • 1. Missing data approaches for probability regression models with missing outcomes with applications.
    Qi L; Sun Y
    J Stat Distrib Appl; 2014; 1():. PubMed ID: 26900543
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Model misspecification and bias for inverse probability weighting estimators of average causal effects.
    Waernbaum I; Pazzagli L
    Biom J; 2023 Feb; 65(2):e2100118. PubMed ID: 36045099
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Augmented Inverse Probability Weighting and the Double Robustness Property.
    Kurz CF
    Med Decis Making; 2022 Feb; 42(2):156-167. PubMed ID: 34225519
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Estimation in optimal treatment regimes based on mean residual lifetimes with right-censored data.
    Liu Z; Zhan Z; Lin C; Zhang B
    Biom J; 2023 Dec; 65(8):e2200340. PubMed ID: 37789592
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Quantile Regression for Competing Risks Data with Missing Cause of Failure.
    Sun Y; Wang HJ; Gilbert PB
    Stat Sin; 2012 Apr; 22(2):703-728. PubMed ID: 23950622
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Doubly robust estimation and causal inference in longitudinal studies with dropout and truncation by death.
    Shardell M; Hicks GE; Ferrucci L
    Biostatistics; 2015 Jan; 16(1):155-68. PubMed ID: 24997309
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Evaluation of predictive model performance of an existing model in the presence of missing data.
    Li P; Taylor JMG; Spratt DE; Karnes RJ; Schipper MJ
    Stat Med; 2021 Jul; 40(15):3477-3498. PubMed ID: 33843085
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Estimation of conditional cumulative incidence functions under generalized semiparametric regression models with missing covariates, with application to analysis of biomarker correlates in vaccine trials.
    Sun Y; Heng F; Lee U; Gilbert PB
    Can J Stat; 2023 Mar; 51(1):235-257. PubMed ID: 36937899
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Doubly robust estimators of causal exposure effects with missing data in the outcome, exposure or a confounder.
    Williamson EJ; Forbes A; Wolfe R
    Stat Med; 2012 Dec; 31(30):4382-400. PubMed ID: 23086504
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Multinomial logistic regression with missing outcome data: An application to cancer subtypes.
    Wang CY; Hsu L
    Stat Med; 2020 Oct; 39(24):3299-3312. PubMed ID: 32628308
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Assessing the accuracy of predictive models with interval-censored data.
    Wu Y; Cook RJ
    Biostatistics; 2022 Jan; 23(1):18-33. PubMed ID: 32170939
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Estimation of Stratified Mark-Specific Proportional Hazards Models with Missing Marks.
    Sun Y; Gilbert PB
    Scand Stat Theory Appl; 2012 Mar; 39(1):34-52. PubMed ID: 23519918
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Analysis of two-phase sampling data with semiparametric additive hazards models.
    Sun Y; Qian X; Shou Q; Gilbert PB
    Lifetime Data Anal; 2017 Jul; 23(3):377-399. PubMed ID: 26995733
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Leveraging auxiliary data to improve precision in inverse probability-weighted analyses.
    Zalla LC; Yang JY; Edwards JK; Cole SR
    Ann Epidemiol; 2022 Oct; 74():75-83. PubMed ID: 35940394
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Semiparametric regression on cumulative incidence function with interval-censored competing risks data and missing event types.
    Park J; Bakoyannis G; Zhang Y; Yiannoutsos CT
    Biostatistics; 2022 Jul; 23(3):738-753. PubMed ID: 33417707
    [TBL] [Abstract][Full Text] [Related]  

  • 20. On Inverse Probability Weighting for Nonmonotone Missing at Random Data.
    Sun B; Tchetgen Tchetgen EJ
    J Am Stat Assoc; 2018; 113(521):369-379. PubMed ID: 30034062
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.