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 *

181 related articles for article (PubMed ID: 27158217)

  • 1. Causal mediation analysis with a binary outcome and multiple continuous or ordinal mediators: Simulations and application to an alcohol intervention.
    Nguyen TQ; Webb-Vargas Y; Koning IM; Stuart EA
    Struct Equ Modeling; 2016; 23(3):368-383. PubMed ID: 27158217
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Estimation of causal mediation effects for a dichotomous outcome in multiple-mediator models using the mediation formula.
    Wang W; Nelson S; Albert JM
    Stat Med; 2013 Oct; 32(24):4211-28. PubMed ID: 23650048
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A readily available improvement over method of moments for intra-cluster correlation estimation in the context of cluster randomized trials and fitting a GEE-type marginal model for binary outcomes.
    Westgate PM
    Clin Trials; 2019 Feb; 16(1):41-51. PubMed ID: 30295512
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An exact regression-based approach for the estimation of natural direct and indirect effects with a binary outcome and a continuous mediator.
    Samoilenko M; Lefebvre G
    Stat Med; 2023 Feb; 42(3):353-387. PubMed ID: 36513379
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Causal mediation analysis in presence of multiple mediators uncausally related.
    Jérolon A; Baglietto L; Birmelé E; Alarcon F; Perduca V
    Int J Biostat; 2020 Sep; 17(2):191-221. PubMed ID: 32990647
    [TBL] [Abstract][Full Text] [Related]  

  • 6. An empirical evaluation of approximate and exact regression-based causal mediation approaches for a binary outcome and a continuous or a binary mediator for case-control study designs.
    Caubet M; L'Espérance K; Koushik A; Lefebvre G
    BMC Med Res Methodol; 2024 Mar; 24(1):72. PubMed ID: 38509513
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Parametric-Regression-Based Causal Mediation Analysis of Binary Outcomes and Binary Mediators: Moving Beyond the Rareness or Commonness of the Outcome.
    Samoilenko M; Lefebvre G
    Am J Epidemiol; 2021 Sep; 190(9):1846-1858. PubMed ID: 33693467
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Estimating the natural indirect effect and the mediation proportion via the product method.
    Cheng C; Spiegelman D; Li F
    BMC Med Res Methodol; 2021 Nov; 21(1):253. PubMed ID: 34800985
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Mediation analysis for common binary outcomes.
    Gaynor SM; Schwartz J; Lin X
    Stat Med; 2019 Feb; 38(4):512-529. PubMed ID: 30256434
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The use of traditional and causal estimators for mediation models with a binary outcome and exposure-mediator interaction.
    Rijnhart JJM; Valente MJ; MacKinnon DP; Twisk JWR; Heymans MW
    Struct Equ Modeling; 2021; 28(3):345-355. PubMed ID: 34239282
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Mediation analysis with multiple mediators under unmeasured mediator-outcome confounding.
    Wickramarachchi DS; Lim LHM; Sun B
    Stat Med; 2023 Feb; 42(4):422-432. PubMed ID: 36502820
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Causal mediation analysis with multiple causally non-ordered mediators.
    Taguri M; Featherstone J; Cheng J
    Stat Methods Med Res; 2018 Jan; 27(1):3-19. PubMed ID: 26596350
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Mediation Analysis with Multiple Mediators.
    VanderWeele TJ; Vansteelandt S
    Epidemiol Methods; 2014 Jan; 2(1):95-115. PubMed ID: 25580377
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A mediation analysis for a nonrare dichotomous outcome with sequentially ordered multiple mediators.
    Lai EY; Shih S; Huang YT; Wang S
    Stat Med; 2020 May; 39(10):1415-1428. PubMed ID: 32074390
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Efficiently transporting causal direct and indirect effects to new populations under intermediate confounding and with multiple mediators.
    Rudolph KE; Díaz I
    Biostatistics; 2022 Jul; 23(3):789-806. PubMed ID: 33528006
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Two-step estimation in ratio-of-mediator-probability weighted causal mediation analysis.
    Bein E; Deutsch J; Hong G; Porter KE; Qin X; Yang C
    Stat Med; 2018 Apr; 37(8):1304-1324. PubMed ID: 29322536
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Disentangling indirect effects through multiple mediators without assuming any causal structure among the mediators.
    Loh WW; Moerkerke B; Loeys T; Vansteelandt S
    Psychol Methods; 2022 Dec; 27(6):982-999. PubMed ID: 34323583
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Causal Organic Indirect and Direct Effects: Closer to the Original Approach to Mediation Analysis, with a Product Method for Binary Mediators.
    Lok JJ; Bosch RJ
    Epidemiology; 2021 May; 32(3):412-420. PubMed ID: 33783395
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Structural equation modeling versus marginal structural modeling for assessing mediation in the presence of posttreatment confounding.
    Moerkerke B; Loeys T; Vansteelandt S
    Psychol Methods; 2015 Jun; 20(2):204-20. PubMed ID: 25751514
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Nonlinear mediation analysis with high-dimensional mediators whose causal structure is unknown.
    Loh WW; Moerkerke B; Loeys T; Vansteelandt S
    Biometrics; 2022 Mar; 78(1):46-59. PubMed ID: 33215694
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.