BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

114 related articles for article (PubMed ID: 25257346)

  • 1. Epidemiologic research using probabilistic outcome definitions.
    Cai B; Hennessy S; Lo Re V; Small DS
    Pharmacoepidemiol Drug Saf; 2015 Jan; 24(1):19-26. PubMed ID: 25257346
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Logistic regression when the outcome is measured with uncertainty.
    Magder LS; Hughes JP
    Am J Epidemiol; 1997 Jul; 146(2):195-203. PubMed ID: 9230782
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Performance of instrumental variable methods in cohort and nested case-control studies: a simulation study.
    Uddin MJ; Groenwold RH; de Boer A; Belitser SV; Roes KC; Hoes AW; Klungel OH
    Pharmacoepidemiol Drug Saf; 2014 Feb; 23(2):165-77. PubMed ID: 24306965
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A probabilistic bias analysis for misclassified categorical exposures, with application to oral anti-hyperglycaemic drugs.
    Arfè A; Nicotra F; Ghirardi A; Simonetti M; Lapi F; Sturkenboom M; Corrao G
    Pharmacoepidemiol Drug Saf; 2016 Dec; 25(12):1443-1450. PubMed ID: 27594547
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identifying health outcomes in healthcare databases.
    Lanes S; Brown JS; Haynes K; Pollack MF; Walker AM
    Pharmacoepidemiol Drug Saf; 2015 Oct; 24(10):1009-16. PubMed ID: 26282185
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A method to automate probabilistic sensitivity analyses of misclassified binary variables.
    Fox MP; Lash TL; Greenland S
    Int J Epidemiol; 2005 Dec; 34(6):1370-6. PubMed ID: 16172102
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Bias from outcome misclassification in immunization schedule safety research.
    Newcomer SR; Kulldorff M; Xu S; Daley MF; Fireman B; Lewis E; Glanz JM
    Pharmacoepidemiol Drug Saf; 2018 Feb; 27(2):221-228. PubMed ID: 29292551
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Methods for systematic reviews of administrative database studies capturing health outcomes of interest.
    McPheeters ML; Sathe NA; Jerome RN; Carnahan RM
    Vaccine; 2013 Dec; 31 Suppl 10():K2-6. PubMed ID: 24331070
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Use of the positive predictive value to correct for disease misclassification in epidemiologic studies.
    Brenner H; Gefeller O
    Am J Epidemiol; 1993 Dec; 138(11):1007-15. PubMed ID: 8256775
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The effect of misclassification on the estimation of association: a review.
    Höfler M
    Int J Methods Psychiatr Res; 2005; 14(2):92-101. PubMed ID: 16175878
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Outcome misclassification: Impact, usual practice in pharmacoepidemiology database studies and an online aid to correct biased estimates of risk ratio or cumulative incidence.
    Hall GC; Lanes S; Bollaerts K; Zhou X; Ferreira G; Gini R
    Pharmacoepidemiol Drug Saf; 2020 Nov; 29(11):1450-1455. PubMed ID: 32860317
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A primer on quantitative bias analysis with positive predictive values in research using electronic health data.
    Newcomer SR; Xu S; Kulldorff M; Daley MF; Fireman B; Glanz JM
    J Am Med Inform Assoc; 2019 Dec; 26(12):1664-1674. PubMed ID: 31365086
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Self-controlled case series and misclassification bias induced by case selection from administrative hospital databases: application to febrile convulsions in pediatric vaccine pharmacoepidemiology.
    Quantin C; Benzenine E; Velten M; Huet F; Farrington CP; Tubert-Bitter P
    Am J Epidemiol; 2013 Dec; 178(12):1731-9. PubMed ID: 24077093
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prior event rate ratio adjustment: numerical studies of a statistical method to address unrecognized confounding in observational studies.
    Yu M; Xie D; Wang X; Weiner MG; Tannen RL
    Pharmacoepidemiol Drug Saf; 2012 May; 21 Suppl 2():60-8. PubMed ID: 22552981
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multiple imputation for missing data via sequential regression trees.
    Burgette LF; Reiter JP
    Am J Epidemiol; 2010 Nov; 172(9):1070-6. PubMed ID: 20841346
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Use of diagnostic likelihood ratio of outcome to evaluate misclassification bias in the planning of database studies.
    Ii Y; Hiro S; Nakazuru Y
    BMC Med Inform Decis Mak; 2022 Jan; 22(1):19. PubMed ID: 35062929
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Bayesian modelling and ROC analysis to predict placebo responders using clinical score measured in the initial weeks of treatment in depression trials.
    Gomeni R; Merlo-Pich E
    Br J Clin Pharmacol; 2007 May; 63(5):595-613. PubMed ID: 17488364
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Bootstrap imputation with a disease probability model minimized bias from misclassification due to administrative database codes.
    van Walraven C
    J Clin Epidemiol; 2017 Apr; 84():114-120. PubMed ID: 28167144
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Improved Correction of Misclassification Bias With Bootstrap Imputation.
    van Walraven C
    Med Care; 2018 Jul; 56(7):e39-e45. PubMed ID: 28787347
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Can statistical linkage of missing variables reduce bias in treatment effect estimates in comparative effectiveness research studies?
    Crown W; Chang J; Olson M; Kahler K; Swindle J; Buzinec P; Shah N; Borah B
    J Comp Eff Res; 2015 Sep; 4(5):455-63. PubMed ID: 26436848
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.