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 *

340 related articles for article (PubMed ID: 27779497)

  • 1. Variable Selection for Confounding Adjustment in High-dimensional Covariate Spaces When Analyzing Healthcare Databases.
    Schneeweiss S; Eddings W; Glynn RJ; Patorno E; Rassen J; Franklin JM
    Epidemiology; 2017 Mar; 28(2):237-248. PubMed ID: 27779497
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Using Super Learner Prediction Modeling to Improve High-dimensional Propensity Score Estimation.
    Wyss R; Schneeweiss S; van der Laan M; Lendle SD; Ju C; Franklin JM
    Epidemiology; 2018 Jan; 29(1):96-106. PubMed ID: 28991001
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Regularized Regression Versus the High-Dimensional Propensity Score for Confounding Adjustment in Secondary Database Analyses.
    Franklin JM; Eddings W; Glynn RJ; Schneeweiss S
    Am J Epidemiol; 2015 Oct; 182(7):651-9. PubMed ID: 26233956
    [TBL] [Abstract][Full Text] [Related]  

  • 5. High-dimensional propensity score algorithm in comparative effectiveness research with time-varying interventions.
    Neugebauer R; Schmittdiel JA; Zhu Z; Rassen JA; Seeger JD; Schneeweiss S
    Stat Med; 2015 Feb; 34(5):753-81. PubMed ID: 25488047
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comparing the performance of propensity score methods in healthcare database studies with rare outcomes.
    Franklin JM; Eddings W; Austin PC; Stuart EA; Schneeweiss S
    Stat Med; 2017 May; 36(12):1946-1963. PubMed ID: 28208229
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A comparison of confounder selection and adjustment methods for estimating causal effects using large healthcare databases.
    Benasseur I; Talbot D; Durand M; Holbrook A; Matteau A; Potter BJ; Renoux C; Schnitzer ME; Tarride JÉ; Guertin JR
    Pharmacoepidemiol Drug Saf; 2022 Apr; 31(4):424-433. PubMed ID: 34953160
    [TBL] [Abstract][Full Text] [Related]  

  • 8. On the role of marginal confounder prevalence - implications for the high-dimensional propensity score algorithm.
    Schuster T; Pang M; Platt RW
    Pharmacoepidemiol Drug Saf; 2015 Sep; 24(9):1004-7. PubMed ID: 25866189
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Collaborative-controlled LASSO for constructing propensity score-based estimators in high-dimensional data.
    Ju C; Wyss R; Franklin JM; Schneeweiss S; Häggström J; van der Laan MJ
    Stat Methods Med Res; 2019 Apr; 28(4):1044-1063. PubMed ID: 29226777
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Comparing the high-dimensional propensity score for use with administrative data with propensity scores derived from high-quality clinical data.
    Austin PC; Wu CF; Lee DS; Tu JV
    Stat Methods Med Res; 2020 Feb; 29(2):568-588. PubMed ID: 30975044
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Comparison of high-dimensional confounder summary scores in comparative studies of newly marketed medications.
    Kumamaru H; Gagne JJ; Glynn RJ; Setoguchi S; Schneeweiss S
    J Clin Epidemiol; 2016 Aug; 76():200-8. PubMed ID: 26931292
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Performance of the High-dimensional Propensity Score in a Nordic Healthcare Model.
    Hallas J; Pottegård A
    Basic Clin Pharmacol Toxicol; 2017 Mar; 120(3):312-317. PubMed ID: 27889951
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Combining Super Learner with high-dimensional propensity score to improve confounding adjustment: A real-world application in chronic lymphocytic leukemia.
    Dhopeshwarkar N; Yang W; Hennessy S; Rhodes JM; Cuker A; Leonard CE
    Pharmacoepidemiol Drug Saf; 2024 Jan; 33(1):e5678. PubMed ID: 37609668
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Head to head comparison of the propensity score and the high-dimensional propensity score matching methods.
    Guertin JR; Rahme E; Dormuth CR; LeLorier J
    BMC Med Res Methodol; 2016 Feb; 16():22. PubMed ID: 26891796
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Performance of the high-dimensional propensity score in adjusting for unmeasured confounders.
    Guertin JR; Rahme E; LeLorier J
    Eur J Clin Pharmacol; 2016 Dec; 72(12):1497-1505. PubMed ID: 27578249
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Effects of long-term exposure to traffic-related air pollution on respiratory and cardiovascular mortality in the Netherlands: the NLCS-AIR study.
    Brunekreef B; Beelen R; Hoek G; Schouten L; Bausch-Goldbohm S; Fischer P; Armstrong B; Hughes E; Jerrett M; van den Brandt P
    Res Rep Health Eff Inst; 2009 Mar; (139):5-71; discussion 73-89. PubMed ID: 19554969
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Performance of disease risk scores, propensity scores, and traditional multivariable outcome regression in the presence of multiple confounders.
    Arbogast PG; Ray WA
    Am J Epidemiol; 2011 Sep; 174(5):613-20. PubMed ID: 21749976
    [TBL] [Abstract][Full Text] [Related]  

  • 19.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 17.