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 *

259 related articles for article (PubMed ID: 23902694)

  • 1. A weighting analogue to pair matching in propensity score analysis.
    Li L; Greene T
    Int J Biostat; 2013 Jul; 9(2):215-34. PubMed ID: 23902694
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Propensity score weighting analysis and treatment effect discovery.
    Mao H; Li L; Greene T
    Stat Methods Med Res; 2019 Aug; 28(8):2439-2454. PubMed ID: 29921162
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. On the use of propensity scores in case of rare exposure.
    Hajage D; Tubach F; Steg PG; Bhatt DL; De Rycke Y
    BMC Med Res Methodol; 2016 Mar; 16():38. PubMed ID: 27036963
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. The use of bootstrapping when using propensity-score matching without replacement: a simulation study.
    Austin PC; Small DS
    Stat Med; 2014 Oct; 33(24):4306-19. PubMed ID: 25087884
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. The performance of inverse probability of treatment weighting and full matching on the propensity score in the presence of model misspecification when estimating the effect of treatment on survival outcomes.
    Austin PC; Stuart EA
    Stat Methods Med Res; 2017 Aug; 26(4):1654-1670. PubMed ID: 25934643
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Subclassification estimation of the weighted average treatment effect.
    Choi BY
    Biom J; 2021 Dec; 63(8):1706-1728. PubMed ID: 34270815
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Vector-based kernel weighting: A simple estimator for improving precision and bias of average treatment effects in multiple treatment settings.
    Garrido MM; Lum J; Pizer SD
    Stat Med; 2021 Feb; 40(5):1204-1223. PubMed ID: 33327037
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Comparison of the ability of double-robust estimators to correct bias in propensity score matching analysis. A Monte Carlo simulation study.
    Nguyen TL; Collins GS; Spence J; Devereaux PJ; Daurès JP; Landais P; Le Manach Y
    Pharmacoepidemiol Drug Saf; 2017 Dec; 26(12):1513-1519. PubMed ID: 28984050
    [TBL] [Abstract][Full Text] [Related]  

  • 12. On variance estimate for covariate adjustment by propensity score analysis.
    Zou B; Zou F; Shuster JJ; Tighe PJ; Koch GG; Zhou H
    Stat Med; 2016 Sep; 35(20):3537-48. PubMed ID: 26999553
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Propensity-score analysis in thoracic surgery: When, why, and an introduction to how.
    Winger DG; Nason KS
    J Thorac Cardiovasc Surg; 2016 Jun; 151(6):1484-7. PubMed ID: 27207121
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Using classification tree analysis to generate propensity score weights.
    Linden A; Yarnold PR
    J Eval Clin Pract; 2017 Aug; 23(4):703-712. PubMed ID: 28371206
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Use of propensity score and disease risk score for multiple treatments with time-to-event outcome: a simulation study.
    Zhang D; Kim J
    J Biopharm Stat; 2019; 29(6):1103-1115. PubMed ID: 30831052
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. 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]  

  • 18. Double propensity-score adjustment: A solution to design bias or bias due to incomplete matching.
    Austin PC
    Stat Methods Med Res; 2017 Feb; 26(1):201-222. PubMed ID: 25038071
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Bias associated with using the estimated propensity score as a regression covariate.
    Hade EM; Lu B
    Stat Med; 2014 Jan; 33(1):74-87. PubMed ID: 23787715
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Bagged one-to-one matching for efficient and robust treatment effect estimation.
    Samuels LR; Greevy RA
    Stat Med; 2018 Dec; 37(29):4353-4373. PubMed ID: 30101483
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.