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 *

96 related articles for article (PubMed ID: 26892025)

  • 1. Adjusting for unmeasured confounding due to either of two crossed factors with a logistic regression model.
    Li L; Brumback BA; Weppelmann TA; Morris JG; Ali A
    Stat Med; 2016 Aug; 35(18):3179-88. PubMed ID: 26892025
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Two-stage instrumental variable methods for estimating the causal odds ratio: analysis of bias.
    Cai B; Small DS; Have TR
    Stat Med; 2011 Jul; 30(15):1809-24. PubMed ID: 21495062
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Model-based standardization to adjust for unmeasured cluster-level confounders with complex survey data.
    Cai Z; Brumback BA
    Stat Med; 2015 Jul; 34(15):2368-80. PubMed ID: 25851438
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Adjusting for bias and unmeasured confounding in Mendelian randomization studies with binary responses.
    Palmer TM; Thompson JR; Tobin MD; Sheehan NA; Burton PR
    Int J Epidemiol; 2008 Oct; 37(5):1161-8. PubMed ID: 18463132
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Bias Formulas for Estimating Direct and Indirect Effects When Unmeasured Confounding Is Present.
    le Cessie S
    Epidemiology; 2016 Jan; 27(1):125-32. PubMed ID: 26426943
    [TBL] [Abstract][Full Text] [Related]  

  • 6. On a preference-based instrumental variable approach in reducing unmeasured confounding-by-indication.
    Li Y; Lee Y; Wolfe RA; Morgenstern H; Zhang J; Port FK; Robinson BM
    Stat Med; 2015 Mar; 34(7):1150-68. PubMed ID: 25546152
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Adjusting for confounding by neighborhood using generalized linear mixed models and complex survey data.
    Brumback BA; Zheng HW; Dailey AB
    Stat Med; 2013 Apr; 32(8):1313-24. PubMed ID: 22975990
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Conditional mixed models with crossed random effects.
    Tibaldi FS; Verbeke G; Molenberghs G; Renard D; Van den Noortgate W; de Boeck P
    Br J Math Stat Psychol; 2007 Nov; 60(Pt 2):351-65. PubMed ID: 17971274
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Conditional pseudolikelihood methods for clustered ordinal, multinomial, or count outcomes with complex survey data.
    Brumback BA; Cai Z; He Z; Zheng HW; Dailey AB
    Stat Med; 2013 Apr; 32(8):1325-35. PubMed ID: 22976045
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Joint mixed-effects models for causal inference with longitudinal data.
    Shardell M; Ferrucci L
    Stat Med; 2018 Feb; 37(5):829-846. PubMed ID: 29205454
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Hierarchical priors for bias parameters in Bayesian sensitivity analysis for unmeasured confounding.
    McCandless LC; Gustafson P; Levy AR; Richardson S
    Stat Med; 2012 Feb; 31(4):383-96. PubMed ID: 22253142
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Semi-parametric estimation of random effects in a logistic regression model using conditional inference.
    Petersen JH
    Stat Med; 2016 Jan; 35(1):41-52. PubMed ID: 26265116
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Bayesian modeling of cost-effectiveness studies with unmeasured confounding: a simulation study.
    Stamey JD; Beavers DP; Faries D; Price KL; Seaman JW
    Pharm Stat; 2014; 13(1):94-100. PubMed ID: 24446072
    [TBL] [Abstract][Full Text] [Related]  

  • 14. "A Bayesian sensitivity analysis to evaluate the impact of unmeasured confounding with external data: a real world comparative effectiveness study in osteoporosis".
    Zhang X; Faries DE; Boytsov N; Stamey JD; Seaman JW
    Pharmacoepidemiol Drug Saf; 2016 Sep; 25(9):982-92. PubMed ID: 27396534
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The missing cause approach to unmeasured confounding in pharmacoepidemiology.
    Abrahamowicz M; Bjerre LM; Beauchamp ME; LeLorier J; Burne R
    Stat Med; 2016 Mar; 35(7):1001-16. PubMed ID: 26932124
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Combining biomarkers for classification with covariate adjustment.
    Kim S; Huang Y
    Stat Med; 2017 Jul; 36(15):2347-2362. PubMed ID: 28276080
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Efforts to adjust for confounding by neighborhood using complex survey data.
    Brumback BA; Dailey AB; He Z; Brumback LC; Livingston MD
    Stat Med; 2010 Aug; 29(18):1890-9. PubMed ID: 20680982
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Application of a paper based device containing a new culture medium to detect Vibrio cholerae in water samples collected in Haiti.
    Briquaire R; Colwell RR; Boncy J; Rossignol E; Dardy A; Pandini I; Villeval F; Machuron JL; Huq A; Rashed S; Vandevelde T; Rozand C
    J Microbiol Methods; 2017 Feb; 133():23-31. PubMed ID: 28007529
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The sign of the unmeasured confounding bias under various standard populations.
    Chiba Y
    Biom J; 2009 Aug; 51(4):670-6. PubMed ID: 19650054
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.