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 *

200 related articles for article (PubMed ID: 34814461)

  • 1. [Matching in observational research: from the directed acyclic graph perspective].
    Luo T; Wang L; Tian T; Fu WH; Pei HL; Zheng YJ; Dai JH
    Zhonghua Liu Xing Bing Xue Za Zhi; 2021 Apr; 42(4):740-744. PubMed ID: 34814461
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Longitudinal Studies 4: Matching Strategies to Evaluate Risk.
    James MT
    Methods Mol Biol; 2021; 2249():167-177. PubMed ID: 33871843
    [TBL] [Abstract][Full Text] [Related]  

  • 3. [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]  

  • 4. Matched designs and causal diagrams.
    Mansournia MA; Hernán MA; Greenland S
    Int J Epidemiol; 2013 Jun; 42(3):860-9. PubMed ID: 23918854
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The use of the directed acyclic graph to disentangle confounding variables from causal factors in observational studies.
    Pérez-López FR; Rodríguez I; García-Alfaro P
    Maturitas; 2024 Jul; 185():107936. PubMed ID: 38350824
    [No Abstract]   [Full Text] [Related]  

  • 6. [Application of directed acyclic graphs in identifying and controlling confounding bias].
    Liu HX; Wang HB; Wang N
    Zhonghua Liu Xing Bing Xue Za Zhi; 2020 Apr; 41(4):585-588. PubMed ID: 32344486
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Causal directed acyclic graphs and the direction of unmeasured confounding bias.
    VanderWeele TJ; Hernán MA; Robins JM
    Epidemiology; 2008 Sep; 19(5):720-8. PubMed ID: 18633331
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Causal Diagrams: Pitfalls and Tips.
    Suzuki E; Shinozaki T; Yamamoto E
    J Epidemiol; 2020 Apr; 30(4):153-162. PubMed ID: 32009103
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A flexible matching strategy for matched nested case-control studies.
    Ratanatharathorn A; Mooney SJ; Rybicki BA; Rundle AG
    Ann Epidemiol; 2023 Oct; 86():49-56.e3. PubMed ID: 37423269
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Case-control matching: effects, misconceptions, and recommendations.
    Mansournia MA; Jewell NP; Greenland S
    Eur J Epidemiol; 2018 Jan; 33(1):5-14. PubMed ID: 29101596
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Confounding, causality, and confusion: the role of intermediate variables in interpreting observational studies in obstetrics.
    Ananth CV; Schisterman EF
    Am J Obstet Gynecol; 2017 Aug; 217(2):167-175. PubMed ID: 28427805
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Directed Acyclic Graphs in Surgical Research.
    Gongola A; Bradshaw JC
    J Surg Res; 2023 Feb; 282():285-288. PubMed ID: 36045022
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A counterfactual approach to bias and effect modification in terms of response types.
    Suzuki E; Mitsuhashi T; Tsuda T; Yamamoto E
    BMC Med Res Methodol; 2013 Jul; 13():101. PubMed ID: 23902658
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [Causal Inference in Medicine Part II. Directed acyclic graphs--a useful method for confounder selection, categorization of potential biases, and hypothesis specification].
    Suzuki E; Komatsu H; Yorifuji T; Yamamoto E; Doi H; Tsuda T
    Nihon Eiseigaku Zasshi; 2009 Sep; 64(4):796-805. PubMed ID: 19797848
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Combining directed acyclic graphs and the change-in-estimate procedure as a novel approach to adjustment-variable selection in epidemiology.
    Evans D; Chaix B; Lobbedez T; Verger C; Flahault A
    BMC Med Res Methodol; 2012 Oct; 12():156. PubMed ID: 23058038
    [TBL] [Abstract][Full Text] [Related]  

  • 16. On the use and misuse of scalar scores of confounders in design and analysis of observational studies.
    Pfeiffer RM; Riedl R
    Stat Med; 2015 Aug; 34(18):2618-35. PubMed ID: 25781579
    [TBL] [Abstract][Full Text] [Related]  

  • 17. [Probe variables: a tool for identification of unmeasured confounders in an observational study].
    Hong X; Yin JC; Wang B
    Zhonghua Liu Xing Bing Xue Za Zhi; 2021 Apr; 42(4):735-739. PubMed ID: 34814460
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Potential Outcomes Approach to Selection Bias.
    Kenah E
    Epidemiology; 2023 Nov; 34(6):865-872. PubMed ID: 37708480
    [TBL] [Abstract][Full Text] [Related]  

  • 19. [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]  

  • 20. Causal Diagram Techniques for Urologic Oncology Research.
    Shapiro DD; Msaouel P
    Clin Genitourin Cancer; 2021 Jun; 19(3):271.e1-271.e7. PubMed ID: 32893127
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.