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 *

353 related articles for article (PubMed ID: 29624292)

  • 1. Bias Amplification in Epidemiologic Analysis of Exposure to Mixtures.
    Weisskopf MG; Seals RM; Webster TF
    Environ Health Perspect; 2018 Apr; 126(4):047003. PubMed ID: 29624292
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. A Quantile-Based g-Computation Approach to Addressing the Effects of Exposure Mixtures.
    Keil AP; Buckley JP; O'Brien KM; Ferguson KK; Zhao S; White AJ
    Environ Health Perspect; 2020 Apr; 128(4):47004. PubMed ID: 32255670
    [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. The impact of residual and unmeasured confounding in epidemiologic studies: a simulation study.
    Fewell Z; Davey Smith G; Sterne JA
    Am J Epidemiol; 2007 Sep; 166(6):646-55. PubMed ID: 17615092
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [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]  

  • 7. Response to letter to the editor from Dr Rahman Shiri: The challenging topic of suicide across occupational groups.
    Niedhammer I; Milner A; Witt K; Klingelschmidt J; Khireddine-Medouni I; Alexopoulos EC; Toivanen S; Chastang JF; LaMontagne AD
    Scand J Work Environ Health; 2018 Jan; 44(1):108-110. PubMed ID: 29218357
    [TBL] [Abstract][Full Text] [Related]  

  • 8. [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]  

  • 9. 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]  

  • 10. Using directed acyclic graphs to guide analyses of neighbourhood health effects: an introduction.
    Fleischer NL; Diez Roux AV
    J Epidemiol Community Health; 2008 Sep; 62(9):842-6. PubMed ID: 18701738
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Directed acyclic graphs: An under-utilized tool for child maltreatment research.
    Austin AE; Desrosiers TA; Shanahan ME
    Child Abuse Negl; 2019 May; 91():78-87. PubMed ID: 30836237
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Using directed acyclic graphs to consider adjustment for socioeconomic status in occupational cancer studies.
    Richiardi L; Barone-Adesi F; Merletti F; Pearce N
    J Epidemiol Community Health; 2008 Jul; 62(7):e14. PubMed ID: 18572430
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Reducing bias through directed acyclic graphs.
    Shrier I; Platt RW
    BMC Med Res Methodol; 2008 Oct; 8():70. PubMed ID: 18973665
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Epidemiologic studies: pitfalls in interpretation.
    Westhoff CL
    Dialogues Contracept; 1995; 4(5):5-6, 8. PubMed ID: 12288680
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Collinearity and Causal Diagrams: A Lesson on the Importance of Model Specification.
    Schisterman EF; Perkins NJ; Mumford SL; Ahrens KA; Mitchell EM
    Epidemiology; 2017 Jan; 28(1):47-53. PubMed ID: 27676260
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Model specification and unmeasured confounders in partially ecologic analyses based on group proportions of exposed.
    Björk J; Strömberg U
    Scand J Work Environ Health; 2005 Jun; 31(3):184-90. PubMed ID: 15999570
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Indirect adjustment of relative risks of an exposure with multiple categories for an unmeasured confounder.
    Lubin JH; Hauptmann M; Blair A
    Ann Epidemiol; 2018 Nov; 28(11):801-807. PubMed ID: 30297163
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 18.