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 *

136 related articles for article (PubMed ID: 37783401)

  • 1. The use of the E-value for sensitivity analysis.
    Chung WT; Chung KC
    J Clin Epidemiol; 2023 Nov; 163():92-94. PubMed ID: 37783401
    [TBL] [Abstract][Full Text] [Related]  

  • 2. [How to adjust confounders in studies on observational comparative effectiveness: (3) approaches on sensitivity analysis for confounder adjustment].
    Huang LL; Zhao Y; Wei YY; Chen F
    Zhonghua Liu Xing Bing Xue Za Zhi; 2019 Dec; 40(12):1645-1649. PubMed ID: 32062931
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Adjusting for unmeasured spatial confounding with distance adjusted propensity score matching.
    Papadogeorgou G; Choirat C; Zigler CM
    Biostatistics; 2019 Apr; 20(2):256-272. PubMed ID: 29365040
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Assessing causal treatment effect estimation when using large observational datasets.
    John ER; Abrams KR; Brightling CE; Sheehan NA
    BMC Med Res Methodol; 2019 Nov; 19(1):207. PubMed ID: 31726969
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Sensitivity analysis for the effects of multiple unmeasured confounders.
    Groenwold RH; Sterne JA; Lawlor DA; Moons KG; Hoes AW; Tilling K
    Ann Epidemiol; 2016 Sep; 26(9):605-11. PubMed ID: 27576907
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Assessing the impact of unmeasured confounders for credible and reliable real-world evidence.
    Zhang X; Stamey JD; Mathur MB
    Pharmacoepidemiol Drug Saf; 2020 Oct; 29(10):1219-1227. PubMed ID: 32929830
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
    Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
    Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A comparison of confounder selection and adjustment methods for estimating causal effects using large healthcare databases.
    Benasseur I; Talbot D; Durand M; Holbrook A; Matteau A; Potter BJ; Renoux C; Schnitzer ME; Tarride JÉ; Guertin JR
    Pharmacoepidemiol Drug Saf; 2022 Apr; 31(4):424-433. PubMed ID: 34953160
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Comparing g-computation, propensity score-based weighting, and targeted maximum likelihood estimation for analyzing externally controlled trials with both measured and unmeasured confounders: a simulation study.
    Ren J; Cislo P; Cappelleri JC; Hlavacek P; DiBonaventura M
    BMC Med Res Methodol; 2023 Jan; 23(1):18. PubMed ID: 36647031
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. How unmeasured confounding in a competing risks setting can affect treatment effect estimates in observational studies.
    Barrowman MA; Peek N; Lambie M; Martin GP; Sperrin M
    BMC Med Res Methodol; 2019 Jul; 19(1):166. PubMed ID: 31366331
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Causal Effects of Prenatal Exposure to PM
    Tozzi V; Lertxundi A; Ibarluzea JM; Baccini M
    Int J Environ Res Public Health; 2019 Nov; 16(22):. PubMed ID: 31717528
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Comparing Effects of Treatment: Controlling for Confounding.
    Yan H; Karmur BS; Kulkarni AV
    Neurosurgery; 2020 Mar; 86(3):325-331. PubMed ID: 31807787
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Adjustment for time-dependent unmeasured confounders in marginal structural Cox models using validation sample data.
    Burne RM; Abrahamowicz M
    Stat Methods Med Res; 2019 Feb; 28(2):357-371. PubMed ID: 28835193
    [TBL] [Abstract][Full Text] [Related]  

  • 16. unmconf : an R package for Bayesian regression with unmeasured confounders.
    Hebdon R; Stamey J; Kahle D; Zhang X
    BMC Med Res Methodol; 2024 Sep; 24(1):195. PubMed ID: 39244581
    [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. Adjusting for indirectly measured confounding using large-scale propensity score.
    Zhang L; Wang Y; Schuemie MJ; Blei DM; Hripcsak G
    J Biomed Inform; 2022 Oct; 134():104204. PubMed ID: 36108816
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The use of propensity score methods with survival or time-to-event outcomes: reporting measures of effect similar to those used in randomized experiments.
    Austin PC
    Stat Med; 2014 Mar; 33(7):1242-58. PubMed ID: 24122911
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Estimating effects of nursing intervention via propensity score analysis.
    Qin R; Titler MG; Shever LL; Kim T
    Nurs Res; 2008; 57(6):444-52. PubMed ID: 19018219
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.