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 *

194 related articles for article (PubMed ID: 30101814)

  • 1. Effects of Omitting Non-confounding Predictors From General Relative-Risk Models for Binary Outcomes.
    Cologne J; Furukawa K; Grant EJ; Abbott RD
    J Epidemiol; 2019 Mar; 29(3):116-122. PubMed ID: 30101814
    [TBL] [Abstract][Full Text] [Related]  

  • 2. An evaluation of bias in propensity score-adjusted non-linear regression models.
    Wan F; Mitra N
    Stat Methods Med Res; 2018 Mar; 27(3):846-862. PubMed ID: 27095754
    [TBL] [Abstract][Full Text] [Related]  

  • 3. On the analysis of composite measures of quality in medical research.
    Moineddin R; Meaney C; Grunfeld E
    Stat Methods Med Res; 2017 Apr; 26(2):633-660. PubMed ID: 25296866
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The alarming problems of confounding equivalence using logistic regression models in the perspective of causal diagrams.
    Yu Y; Li H; Sun X; Su P; Wang T; Liu Y; Yuan Z; Liu Y; Xue F
    BMC Med Res Methodol; 2017 Dec; 17(1):177. PubMed ID: 29281984
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Controlling for continuous confounders in epidemiologic research.
    Brenner H; Blettner M
    Epidemiology; 1997 Jul; 8(4):429-34. PubMed ID: 9209859
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Linear mixed models for replication data to efficiently allow for covariate measurement error.
    Bartlett JW; De Stavola BL; Frost C
    Stat Med; 2009 Nov; 28(25):3158-78. PubMed ID: 19777493
    [TBL] [Abstract][Full Text] [Related]  

  • 7. How large are the consequences of covariate imbalance in cluster randomized trials: a simulation study with a continuous outcome and a binary covariate at the cluster level.
    Moerbeek M; van Schie S
    BMC Med Res Methodol; 2016 Jul; 16():79. PubMed ID: 27401771
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Adjustment for regression dilution in epidemiological regression analyses.
    Knuiman MW; Divitini ML; Buzas JS; Fitzgerald PE
    Ann Epidemiol; 1998 Jan; 8(1):56-63. PubMed ID: 9465995
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Influence of trial duration on the bias of the estimated treatment effect in clinical trials when individual heterogeneity is ignored.
    Cécilia-Joseph E; Auvert B; Broët P; Moreau T
    Biom J; 2015 May; 57(3):371-83. PubMed ID: 25597640
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Segmented regression with errors in predictors: semi-parametric and parametric methods.
    Küchenhoff H; Carroll RJ
    Stat Med; 1997 Jan 15-Feb 15; 16(1-3):169-88. PubMed ID: 9004390
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Evaluating uses of data mining techniques in propensity score estimation: a simulation study.
    Setoguchi S; Schneeweiss S; Brookhart MA; Glynn RJ; Cook EF
    Pharmacoepidemiol Drug Saf; 2008 Jun; 17(6):546-55. PubMed ID: 18311848
    [TBL] [Abstract][Full Text] [Related]  

  • 12. The effect of omitted covariates on confidence interval and study power in binary outcome analysis: a simulation study.
    Negassa A; Hanley JA
    Contemp Clin Trials; 2007 May; 28(3):242-8. PubMed ID: 17011835
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Confounding and regression adjustment in difference-in-differences studies.
    Zeldow B; Hatfield LA
    Health Serv Res; 2021 Oct; 56(5):932-941. PubMed ID: 33978956
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Bias and sensitivity analysis when estimating treatment effects from the cox model with omitted covariates.
    Lin NX; Logan S; Henley WE
    Biometrics; 2013 Dec; 69(4):850-60. PubMed ID: 24224574
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Effects of short-term exposure to air pollution on hospital admissions of young children for acute lower respiratory infections in Ho Chi Minh City, Vietnam.
    ; Le TG; Ngo L; Mehta S; Do VD; Thach TQ; Vu XD; Nguyen DT; Cohen A
    Res Rep Health Eff Inst; 2012 Jun; (169):5-72; discussion 73-83. PubMed ID: 22849236
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Bias correction of bounded location error in binary data.
    Walker NB; Hefley TJ; Walsh DP
    Biometrics; 2020 Jun; 76(2):530-539. PubMed ID: 31517389
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Adjusting for Confounding in Early Postlaunch Settings: Going Beyond Logistic Regression Models.
    Schmidt AF; Klungel OH; Groenwold RH;
    Epidemiology; 2016 Jan; 27(1):133-42. PubMed ID: 26436519
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Design of pharmacokinetic studies for latent covariates.
    Lagishetty CV; Coulter CV; Duffull SB
    J Pharmacokinet Pharmacodyn; 2012 Feb; 39(1):87-97. PubMed ID: 22161222
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Adjustment for unmeasured confounding through informative priors for the confounder-outcome relation.
    Groenwold RHH; Shofty I; Miočević M; van Smeden M; Klugkist I
    BMC Med Res Methodol; 2018 Dec; 18(1):174. PubMed ID: 30577773
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.