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 *

118 related articles for article (PubMed ID: 27531361)

  • 1. Multicollinearity is a red herring in the search for moderator variables: A guide to interpreting moderated multiple regression models and a critique of Iacobucci, Schneider, Popovich, and Bakamitsos (2016).
    McClelland GH; Irwin JR; Disatnik D; Sivan L
    Behav Res Methods; 2017 Feb; 49(1):394-402. PubMed ID: 27531361
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Mean centering, multicollinearity, and moderators in multiple regression: The reconciliation redux.
    Iacobucci D; Schneider MJ; Popovich DL; Bakamitsos GA
    Behav Res Methods; 2017 Feb; 49(1):403-404. PubMed ID: 27800581
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Mean centering helps alleviate "micro" but not "macro" multicollinearity.
    Iacobucci D; Schneider MJ; Popovich DL; Bakamitsos GA
    Behav Res Methods; 2016 Dec; 48(4):1308-1317. PubMed ID: 26148824
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Clarifying the role of mean centring in multicollinearity of interaction effects.
    Shieh G
    Br J Math Stat Psychol; 2011 Nov; 64(3):462-77. PubMed ID: 21973096
    [TBL] [Abstract][Full Text] [Related]  

  • 5. On the Misconception of Multicollinearity in Detection of Moderating Effects: Multicollinearity Is Not Always Detrimental.
    Shieh G
    Multivariate Behav Res; 2010 May; 45(3):483-507. PubMed ID: 26760490
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Centering in Multiple Regression Does Not Always Reduce Multicollinearity: How to Tell When Your Estimates Will Not Benefit From Centering.
    Olvera Astivia OL; Kroc E
    Educ Psychol Meas; 2019 Oct; 79(5):813-826. PubMed ID: 31488914
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Multiple regression for physiological data analysis: the problem of multicollinearity.
    Slinker BK; Glantz SA
    Am J Physiol; 1985 Jul; 249(1 Pt 2):R1-12. PubMed ID: 4014489
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Do simple slopes follow-up tests lead us astray? Advancements in the visualization and reporting of interactions.
    Finsaas MC; Goldstein BL
    Psychol Methods; 2021 Feb; 26(1):38-60. PubMed ID: 32309961
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Multicollinearity in hierarchical linear models.
    Yu H; Jiang S; Land KC
    Soc Sci Res; 2015 Sep; 53():118-36. PubMed ID: 26188442
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Multicollinearity and misleading statistical results.
    Kim JH
    Korean J Anesthesiol; 2019 Dec; 72(6):558-569. PubMed ID: 31304696
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Problems of correlations between explanatory variables in multiple regression analyses in the dental literature.
    Tu YK; Kellett M; Clerehugh V; Gilthorpe MS
    Br Dent J; 2005 Oct; 199(7):457-61. PubMed ID: 16215581
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Diagnosing and dealing with multicollinearity.
    Schroeder MA
    West J Nurs Res; 1990 Apr; 12(2):175-84; discussion 184-7. PubMed ID: 2321373
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Assessing moderated mediation in linear models requires fewer confounding assumptions than assessing mediation.
    Loeys T; Talloen W; Goubert L; Moerkerke B; Vansteelandt S
    Br J Math Stat Psychol; 2016 Nov; 69(3):352-374. PubMed ID: 27711981
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Tools to support interpreting multiple regression in the face of multicollinearity.
    Kraha A; Turner H; Nimon K; Zientek LR; Henson RK
    Front Psychol; 2012; 3():44. PubMed ID: 22457655
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Can a Mediator Moderate? Considering the Role of Time and Change in the Mediator-Moderator Distinction.
    Karazsia BT; Berlin KS
    Behav Ther; 2018 Jan; 49(1):12-20. PubMed ID: 29405917
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Interpreting interactions of ordinal or continuous variables in moderated regression using the zero slope comparison: tutorial, new extensions, and cancer symptom applications.
    Francoeur RB
    Int J Soc Syst Sci; 2011; 3(1-2):137-158. PubMed ID: 22899967
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Multicollinearity in Regression Analyses Conducted in Epidemiologic Studies.
    Vatcheva KP; Lee M; McCormick JB; Rahbar MH
    Epidemiology (Sunnyvale); 2016 Apr; 6(2):. PubMed ID: 27274911
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Sample size determination for confidence intervals of interaction effects in moderated multiple regression with continuous predictor and moderator variables.
    Shieh G
    Behav Res Methods; 2010 Aug; 42(3):824-35. PubMed ID: 20805605
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Estimation of genetic effects in the presence of multicollinearity in multibreed beef cattle evaluation.
    Roso VM; Schenkel FS; Miller SP; Schaeffer LR
    J Anim Sci; 2005 Aug; 83(8):1788-800. PubMed ID: 16024697
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Detection of interactions between a dichotomous moderator and a continuous predictor in moderated multiple regression with heterogeneous error variance.
    Shieh G
    Behav Res Methods; 2009 Feb; 41(1):61-74. PubMed ID: 19182125
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.