BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

157 related articles for article (PubMed ID: 7950528)

  • 1. Interpreting the results of observational research: chance is not such a fine thing.
    Brennan P; Croft P
    BMJ; 1994 Sep; 309(6956):727-30. PubMed ID: 7950528
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Methods to adjust for bias and confounding in critical care health services research involving observational data.
    Wunsch H; Linde-Zwirble WT; Angus DC
    J Crit Care; 2006 Mar; 21(1):1-7. PubMed ID: 16616616
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Observational studies: a review of study designs, challenges and strategies to reduce confounding.
    Lu CY
    Int J Clin Pract; 2009 May; 63(5):691-7. PubMed ID: 19392919
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Confounding in health research.
    Greenland S; Morgenstern H
    Annu Rev Public Health; 2001; 22():189-212. PubMed ID: 11274518
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Interpretation of epidemiologic studies very often lacked adequate consideration of confounding.
    Hemkens LG; Ewald H; Naudet F; Ladanie A; Shaw JG; Sajeev G; Ioannidis JPA
    J Clin Epidemiol; 2018 Jan; 93():94-102. PubMed ID: 28943377
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Bias in research.
    Agabegi SS; Stern PJ
    Am J Orthop (Belle Mead NJ); 2008 May; 37(5):242-8. PubMed ID: 18587501
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Should meta-analyses of interventions include observational studies in addition to randomized controlled trials? A critical examination of underlying principles.
    Shrier I; Boivin JF; Steele RJ; Platt RW; Furlan A; Kakuma R; Brophy J; Rossignol M
    Am J Epidemiol; 2007 Nov; 166(10):1203-9. PubMed ID: 17712019
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Beyond HERS: some (not so) random thoughts on randomized clinical trials.
    Bush T
    Int J Fertil Womens Med; 2001; 46(2):55-9. PubMed ID: 11374656
    [TBL] [Abstract][Full Text] [Related]  

  • 9. [Roaming through the methodology. XX. Randomization as a means of avoiding confounding through indication].
    Zielhuis GA
    Ned Tijdschr Geneeskd; 2000 Aug; 144(32):1528-31. PubMed ID: 10949635
    [TBL] [Abstract][Full Text] [Related]  

  • 10. On the causal structure of information bias and confounding bias in randomized trials.
    Shahar E; Shahar DJ
    J Eval Clin Pract; 2009 Dec; 15(6):1214-6. PubMed ID: 20367730
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A systematic review of comparisons of effect sizes derived from randomised and non-randomised studies.
    MacLehose RR; Reeves BC; Harvey IM; Sheldon TA; Russell IT; Black AM
    Health Technol Assess; 2000; 4(34):1-154. PubMed ID: 11134917
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Beyond randomised versus observational studies.
    Concato J; Horwitz RI
    Lancet; 2004 May; 363(9422):1660-1. PubMed ID: 15158623
    [No Abstract]   [Full Text] [Related]  

  • 13. Re-interpreting conventional interval estimates taking into account bias and extra-variation.
    Höfler M; Seaman SR
    BMC Med Res Methodol; 2006 Oct; 6():51. PubMed ID: 17042949
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Bias and causal associations in observational research.
    Grimes DA; Schulz KF
    Lancet; 2002 Jan; 359(9302):248-52. PubMed ID: 11812579
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Interpreting the term selection bias in medical research.
    Mark DH
    Fam Med; 1997 Feb; 29(2):132-6. PubMed ID: 9048175
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Bounding formulas for selection bias.
    Huang TH; Lee WC
    Am J Epidemiol; 2015 Nov; 182(10):868-72. PubMed ID: 26519426
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Making inferences on treatment effects from real world data: propensity scores, confounding by indication, and other perils for the unwary in observational research.
    Freemantle N; Marston L; Walters K; Wood J; Reynolds MR; Petersen I
    BMJ; 2013 Nov; 347():f6409. PubMed ID: 24217206
    [No Abstract]   [Full Text] [Related]  

  • 19. When are observational studies as credible as randomised trials?
    Vandenbroucke JP
    Lancet; 2004 May; 363(9422):1728-31. PubMed ID: 15158638
    [No Abstract]   [Full Text] [Related]  

  • 20. Observational evidence.
    Hennekens CH; Buring JE
    Ann N Y Acad Sci; 1993 Dec; 703():18-24; discussion 24. PubMed ID: 8192295
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 8.