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 *

193 related articles for article (PubMed ID: 11138805)

  • 21. Bias Due to Confounders for the Exposure-Competing Risk Relationship.
    Lesko CR; Lau B
    Epidemiology; 2017 Jan; 28(1):20-27. PubMed ID: 27748680
    [TBL] [Abstract][Full Text] [Related]  

  • 22. [Directed acyclic graphs (DAGs) - the application of causal diagrams in epidemiology].
    Schipf S; Knüppel S; Hardt J; Stang A
    Gesundheitswesen; 2011 Dec; 73(12):888-92. PubMed ID: 22193898
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Interpreting epidemiological evidence: how meta-analysis and causal inference methods are related.
    Weed DL
    Int J Epidemiol; 2000 Jun; 29(3):387-90. PubMed ID: 10869307
    [TBL] [Abstract][Full Text] [Related]  

  • 24. [Use of causal diagrams in Epidemiology: application to a situation with confounding].
    Cortes TR; Faerstein E; Struchiner CJ
    Cad Saude Publica; 2016 Aug; 32(8):e00103115. PubMed ID: 27509550
    [TBL] [Abstract][Full Text] [Related]  

  • 25. A descriptive review of variable selection methods in four epidemiologic journals: there is still room for improvement.
    Talbot D; Massamba VK
    Eur J Epidemiol; 2019 Aug; 34(8):725-730. PubMed ID: 31161279
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Risk of Bias in Systematic Reviews of Non-Randomized Studies of Adverse Cardiovascular Effects of Thiazolidinediones and Cyclooxygenase-2 Inhibitors: Application of a New Cochrane Risk of Bias Tool.
    Bilandzic A; Fitzpatrick T; Rosella L; Henry D
    PLoS Med; 2016 Apr; 13(4):e1001987. PubMed ID: 27046153
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Sensitivity analysis for mistakenly adjusting for mediators in estimating total effect in observational studies.
    Wang T; Li H; Su P; Yu Y; Sun X; Liu Y; Yuan Z; Xue F
    BMJ Open; 2017 Nov; 7(11):e015640. PubMed ID: 29162569
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Bias versus causality: interpreting recent evidence of oral contraceptive studies.
    Spitzer WO
    Am J Obstet Gynecol; 1998 Sep; 179(3 Pt 2):S43-50. PubMed ID: 9753310
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Causation, bias and confounding: a hitchhiker's guide to the epidemiological galaxy Part 2. Principles of causality in epidemiological research: confounding, effect modification and strength of association.
    Shapiro S
    J Fam Plann Reprod Health Care; 2008 Jul; 34(3):185-90. PubMed ID: 18577320
    [No Abstract]   [Full Text] [Related]  

  • 30. [Directed acyclic graphs: languages, rules and applications].
    Zheng YJ; Zhao NQ
    Zhonghua Liu Xing Bing Xue Za Zhi; 2017 Aug; 38(8):1140-1144. PubMed ID: 28847071
    [TBL] [Abstract][Full Text] [Related]  

  • 31. [Application of directed acyclic graphs in control of confounding].
    Xiang R; Dai WJ; Xiong Y; Wu X; Yang YF; Wang L; Dai ZH; Li J; Liu AZ
    Zhonghua Liu Xing Bing Xue Za Zhi; 2016 Jul; 37(7):1035-8. PubMed ID: 27453119
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Bias in meta-analytic research.
    Felson DT
    J Clin Epidemiol; 1992 Aug; 45(8):885-92. PubMed ID: 1624971
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Causal inference: the case of hygiene and health.
    Aiello AE; Larson EL
    Am J Infect Control; 2002 Dec; 30(8):503-11. PubMed ID: 12461515
    [No Abstract]   [Full Text] [Related]  

  • 34. Model Averaging for Improving Inference from Causal Diagrams.
    Hamra GB; Kaufman JS; Vahratian A
    Int J Environ Res Public Health; 2015 Aug; 12(8):9391-407. PubMed ID: 26270672
    [TBL] [Abstract][Full Text] [Related]  

  • 35. A comparison of Bayesian and Monte Carlo sensitivity analysis for unmeasured confounding.
    McCandless LC; Gustafson P
    Stat Med; 2017 Aug; 36(18):2887-2901. PubMed ID: 28386994
    [TBL] [Abstract][Full Text] [Related]  

  • 36. The Epidemiologic Toolbox: Identifying, Honing, and Using the Right Tools for the Job.
    Lesko CR; Keil AP; Edwards JK
    Am J Epidemiol; 2020 Jun; 189(6):511-517. PubMed ID: 32207771
    [TBL] [Abstract][Full Text] [Related]  

  • 37. The association of body mass index with health outcomes: causal, inconsistent, or confounded?
    Shahar E
    Am J Epidemiol; 2009 Oct; 170(8):957-8. PubMed ID: 19755631
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Directed acyclic graphs (DAGs): an aid to assess confounding in dental research.
    Merchant AT; Pitiphat W
    Community Dent Oral Epidemiol; 2002 Dec; 30(6):399-404. PubMed ID: 12453109
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Errors in causal inference: an organizational schema for systematic error and random error.
    Suzuki E; Tsuda T; Mitsuhashi T; Mansournia MA; Yamamoto E
    Ann Epidemiol; 2016 Nov; 26(11):788-793.e1. PubMed ID: 27771142
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Systematic reviews to evaluate causation: an overview of methods and application.
    Khan KS; Ball E; Fox CE; Meads C
    Evid Based Med; 2012 Oct; 17(5):137-41. PubMed ID: 22491154
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.