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 *

186 related articles for article (PubMed ID: 27413128)

  • 1. Best (but oft-forgotten) practices: propensity score methods in clinical nutrition research.
    Ali MS; Groenwold RH; Klungel OH
    Am J Clin Nutr; 2016 Aug; 104(2):247-58. PubMed ID: 27413128
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Use and Interpretation of Propensity Scores in Aging Research: A Guide for Clinical Researchers.
    Kim DH; Pieper CF; Ahmed A; Colón-Emeric CS
    J Am Geriatr Soc; 2016 Oct; 64(10):2065-2073. PubMed ID: 27550392
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Evaluating the comparability of osteoporosis treatments using propensity score and negative control outcome methods in UK and Denmark electronic health record databases.
    Tan EH; Rathod-Mistry T; Strauss VY; O'Kelly J; Giorgianni F; Baxter R; Brunetti VC; Pedersen AB; Ehrenstein V; Prieto-Alhambra D
    J Bone Miner Res; 2024 Apr; ():. PubMed ID: 38619297
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Reporting of covariate selection and balance assessment in propensity score analysis is suboptimal: a systematic review.
    Ali MS; Groenwold RH; Belitser SV; Pestman WR; Hoes AW; Roes KC; Boer Ad; Klungel OH
    J Clin Epidemiol; 2015 Feb; 68(2):112-21. PubMed ID: 25433444
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Five Steps to Successfully Implement and Evaluate Propensity Score Matching in Clinical Research Studies.
    Staffa SJ; Zurakowski D
    Anesth Analg; 2018 Oct; 127(4):1066-1073. PubMed ID: 29324498
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Which Propensity Score Method Best Reduces Confounder Imbalance? An Example From a Retrospective Evaluation of a Childhood Obesity Intervention.
    Schroeder K; Jia H; Smaldone A
    Nurs Res; 2016; 65(6):465-474. PubMed ID: 27801717
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Statistical primer: propensity score matching and its alternatives.
    Benedetto U; Head SJ; Angelini GD; Blackstone EH
    Eur J Cardiothorac Surg; 2018 Jun; 53(6):1112-1117. PubMed ID: 29684154
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Propensity Score Methods: Theory and Practice for Anesthesia Research.
    Schulte PJ; Mascha EJ
    Anesth Analg; 2018 Oct; 127(4):1074-1084. PubMed ID: 29750691
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Estimating effects of nursing intervention via propensity score analysis.
    Qin R; Titler MG; Shever LL; Kim T
    Nurs Res; 2008; 57(6):444-52. PubMed ID: 19018219
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Controlling for confounding via propensity score methods can result in biased estimation of the conditional AUC: A simulation study.
    Galadima HI; McClish DK
    Pharm Stat; 2019 Oct; 18(5):568-582. PubMed ID: 31111682
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Propensity Score Methods in Rare Disease: A Demonstration Using Observational Data in Systemic Lupus Erythematosus.
    Almaghlouth I; Pullenayegum E; Gladman DD; Urowitz MB; Johnson SR
    J Rheumatol; 2021 Mar; 48(3):321-325. PubMed ID: 32611674
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Reporting and Guidelines in Propensity Score Analysis: A Systematic Review of Cancer and Cancer Surgical Studies.
    Yao XI; Wang X; Speicher PJ; Hwang ES; Cheng P; Harpole DH; Berry MF; Schrag D; Pang HH
    J Natl Cancer Inst; 2017 Aug; 109(8):. PubMed ID: 28376195
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The performance of different propensity score methods for estimating marginal hazard ratios.
    Austin PC
    Stat Med; 2013 Jul; 32(16):2837-49. PubMed ID: 23239115
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Studies with many covariates and few outcomes: selecting covariates and implementing propensity-score-based confounding adjustments.
    Patorno E; Glynn RJ; Hernández-Díaz S; Liu J; Schneeweiss S
    Epidemiology; 2014 Mar; 25(2):268-78. PubMed ID: 24487209
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. 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]  

  • 18. 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]  

  • 19. A comparison of approaches for stratifying on the propensity score to reduce bias.
    Linden A
    J Eval Clin Pract; 2017 Aug; 23(4):690-696. PubMed ID: 28074629
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Evaluating large-scale propensity score performance through real-world and synthetic data experiments.
    Tian Y; Schuemie MJ; Suchard MA
    Int J Epidemiol; 2018 Dec; 47(6):2005-2014. PubMed ID: 29939268
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.