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 *

109 related articles for article (PubMed ID: 29936761)

  • 1. [Exposure-preceding-outcome regarding time sequence among cohort studies in real world].
    Liu LL; He YN; Cai QY; Zhao NQ; Zheng YJ
    Zhonghua Liu Xing Bing Xue Za Zhi; 2018 Jun; 39(6):858-861. PubMed ID: 29936761
    [TBL] [Abstract][Full Text] [Related]  

  • 2. [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]  

  • 3. [Causality in objective world: Directed Acyclic Graphs-based structural parsing].
    Zheng YJ; Zhao NQ; He YN
    Zhonghua Liu Xing Bing Xue Za Zhi; 2018 Jan; 39(1):90-93. PubMed ID: 29374904
    [TBL] [Abstract][Full Text] [Related]  

  • 4. [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]  

  • 5. Graphical presentation of confounding in directed acyclic graphs.
    Suttorp MM; Siegerink B; Jager KJ; Zoccali C; Dekker FW
    Nephrol Dial Transplant; 2015 Sep; 30(9):1418-23. PubMed ID: 25324358
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Limitations of individual causal models, causal graphs, and ignorability assumptions, as illustrated by random confounding and design unfaithfulness.
    Greenland S; Mansournia MA
    Eur J Epidemiol; 2015 Oct; 30(10):1101-10. PubMed ID: 25687168
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Toward a clearer understanding of causal concepts in epidemiology.
    Maldonado G
    Ann Epidemiol; 2013 Dec; 23(12):743-9. PubMed ID: 24404565
    [TBL] [Abstract][Full Text] [Related]  

  • 8. [A structural classification of strategies for confounding control in research design].
    He YN; Liu LL; Cai QY; Zhao NQ; Zheng YJ
    Zhonghua Liu Xing Bing Xue Za Zhi; 2018 Jul; 39(7):999-1002. PubMed ID: 30060319
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. [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]  

  • 11. Estimating the causal effect of an exposure on change from baseline using directed acyclic graphs and path analysis.
    Lepage B; Lamy S; Dedieu D; Savy N; Lang T
    Epidemiology; 2015 Jan; 26(1):122-9. PubMed ID: 25401453
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Dependence of confounding on the target population: a modification of causal graphs to account for co-action.
    Flanders WD; Johnson CY; Howards PP; Greenland S
    Ann Epidemiol; 2011 Sep; 21(9):698-705. PubMed ID: 21737305
    [TBL] [Abstract][Full Text] [Related]  

  • 13. [The application of causal thinking in several issues in estimation of effects].
    Zheng YJ; Cai QY; Fan W; Zhang M
    Zhonghua Liu Xing Bing Xue Za Zhi; 2019 Oct; 40(10):1314-1323. PubMed ID: 31658537
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Directed acyclic graphs: a tool for causal studies in paediatrics.
    Williams TC; Bach CC; Matthiesen NB; Henriksen TB; Gagliardi L
    Pediatr Res; 2018 Oct; 84(4):487-493. PubMed ID: 29967527
    [TBL] [Abstract][Full Text] [Related]  

  • 16. [Causality and confounding in epidemiology].
    Stang A
    Gesundheitswesen; 2011 Dec; 73(12):884-7. PubMed ID: 22193897
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Mendelian randomization as an instrumental variable approach to causal inference.
    Didelez V; Sheehan N
    Stat Methods Med Res; 2007 Aug; 16(4):309-30. PubMed ID: 17715159
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Assessing causal effects of early life-course factors on early childhood caries in 5-year-old Ugandan children using directed acyclic graphs (DAGs): A prospective cohort study.
    Birungi N; Fadnes LT; Kasangaki A; Nankabirwa V; Okullo I; Lie SA; Tumwine JK; Åstrøm AN;
    Community Dent Oral Epidemiol; 2017 Dec; 45(6):512-521. PubMed ID: 28631283
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Directed Acyclic Graphs for Oral Disease Research.
    Akinkugbe AA; Sharma S; Ohrbach R; Slade GD; Poole C
    J Dent Res; 2016 Jul; 95(8):853-9. PubMed ID: 27000052
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Robust causal inference using directed acyclic graphs: the R package 'dagitty'.
    Textor J; van der Zander B; Gilthorpe MS; Liskiewicz M; Ellison GT
    Int J Epidemiol; 2016 Dec; 45(6):1887-1894. PubMed ID: 28089956
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.