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 *

462 related articles for article (PubMed ID: 27417265)

  • 1. An alternative empirical likelihood method in missing response problems and causal inference.
    Ren K; Drummond CA; Brewster PS; Haller ST; Tian J; Cooper CJ; Zhang B
    Stat Med; 2016 Nov; 35(27):5009-5028. PubMed ID: 27417265
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Using a monotone single-index model to stabilize the propensity score in missing data problems and causal inference.
    Qin J; Yu T; Li P; Liu H; Chen B
    Stat Med; 2019 Apr; 38(8):1442-1458. PubMed ID: 30566258
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Statistical inference for missing data mechanisms.
    Zhao Y
    Stat Med; 2020 Dec; 39(28):4325-4333. PubMed ID: 32815184
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Improving causal inference with a doubly robust estimator that combines propensity score stratification and weighting.
    Linden A
    J Eval Clin Pract; 2017 Aug; 23(4):697-702. PubMed ID: 28116816
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Double robust estimator of average causal treatment effect for censored medical cost data.
    Wang X; Beste LA; Maier MM; Zhou XH
    Stat Med; 2016 Aug; 35(18):3101-16. PubMed ID: 26818601
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Model misspecification and robustness in causal inference: comparing matching with doubly robust estimation.
    Waernbaum I
    Stat Med; 2012 Jul; 31(15):1572-81. PubMed ID: 22359267
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Propensity weighting plus adjustment in proportional hazards model is not doubly robust.
    Gabriel EE; Sachs MC; Waernbaum I; Goetghebeur E; Blanche PF; Vansteelandt S; Sjölander A; Scheike T
    Biometrics; 2024 Jul; 80(3):. PubMed ID: 39036984
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Double Robust Efficient Estimators of Longitudinal Treatment Effects: Comparative Performance in Simulations and a Case Study.
    Tran L; Yiannoutsos C; Wools-Kaloustian K; Siika A; van der Laan M; Petersen M
    Int J Biostat; 2019 Feb; 15(2):. PubMed ID: 30811344
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 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. Targeted Maximum Likelihood Estimation for Causal Inference in Observational Studies.
    Schuler MS; Rose S
    Am J Epidemiol; 2017 Jan; 185(1):65-73. PubMed ID: 27941068
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multiply robust causal inference of the restricted mean survival time difference.
    Shu D; Mukhopadhyay S; Uno H; Gerber JS; Schaubel DE
    Stat Methods Med Res; 2023 Dec; 32(12):2386-2404. PubMed ID: 37965684
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Doubly robust estimation in missing data and causal inference models.
    Bang H; Robins JM
    Biometrics; 2005 Dec; 61(4):962-73. PubMed ID: 16401269
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Multiply robust estimation of causal quantile treatment effects.
    Xie Y; Cotton C; Zhu Y
    Stat Med; 2020 Dec; 39(28):4238-4251. PubMed ID: 32857876
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Inverse probability of treatment weighting with generalized linear outcome models for doubly robust estimation.
    Gabriel EE; Sachs MC; Martinussen T; Waernbaum I; Goetghebeur E; Vansteelandt S; Sjölander A
    Stat Med; 2024 Feb; 43(3):534-547. PubMed ID: 38096856
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. 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]  

  • 18. 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]  

  • 19. Stratified doubly robust estimators for the average causal effect.
    Hattori S; Henmi M
    Biometrics; 2014 Jun; 70(2):270-7. PubMed ID: 24571129
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Estimating population treatment effects from a survey subsample.
    Rudolph KE; Díaz I; Rosenblum M; Stuart EA
    Am J Epidemiol; 2014 Oct; 180(7):737-48. PubMed ID: 25190679
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 24.