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 *

169 related articles for article (PubMed ID: 35468748)

  • 1. Instrumental variable analysis to estimate treatment effects: a simulation study showing potential benefits of conditioning on hospital.
    Ceyisakar IE; van Leeuwen N; Steyerberg EW; Lingsma HF
    BMC Med Res Methodol; 2022 Apr; 22(1):121. PubMed ID: 35468748
    [TBL] [Abstract][Full Text] [Related]  

  • 2. On a preference-based instrumental variable approach in reducing unmeasured confounding-by-indication.
    Li Y; Lee Y; Wolfe RA; Morgenstern H; Zhang J; Port FK; Robinson BM
    Stat Med; 2015 Mar; 34(7):1150-68. PubMed ID: 25546152
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The impact of unmeasured within- and between-cluster confounding on the bias of effect estimatorsof a continuous exposure.
    Li Y; Lee Y; Port FK; Robinson BM
    Stat Methods Med Res; 2020 Aug; 29(8):2119-2139. PubMed ID: 31694489
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Adjusting for confounding by indication in observational studies: a case study in traumatic brain injury.
    Cnossen MC; van Essen TA; Ceyisakar IE; Polinder S; Andriessen TM; van der Naalt J; Haitsma I; Horn J; Franschman G; Vos PE; Peul WC; Menon DK; Maas AI; Steyerberg EW; Lingsma HF
    Clin Epidemiol; 2018; 10():841-852. PubMed ID: 30050328
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. The missing cause approach to unmeasured confounding in pharmacoepidemiology.
    Abrahamowicz M; Bjerre LM; Beauchamp ME; LeLorier J; Burne R
    Stat Med; 2016 Mar; 35(7):1001-16. PubMed ID: 26932124
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Instrumental Variable Methods for Continuous Outcomes That Accommodate Nonignorable Missing Baseline Values.
    Ertefaie A; Flory JH; Hennessy S; Small DS
    Am J Epidemiol; 2017 Jun; 185(12):1233-1239. PubMed ID: 28338946
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Bias amplification in the g-computation algorithm for time-varying treatments: a case study of industry payments and prescription of opioid products.
    Inoue K; Goto A; Kondo N; Shinozaki T
    BMC Med Res Methodol; 2022 Apr; 22(1):120. PubMed ID: 35468735
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Analysis approaches to address treatment nonadherence in pragmatic trials with point-treatment settings: a simulation study.
    Hossain MB; Mosquera L; Karim ME
    BMC Med Res Methodol; 2022 Feb; 22(1):46. PubMed ID: 35172746
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Sample size importantly limits the usefulness of instrumental variable methods, depending on instrument strength and level of confounding.
    Boef AG; Dekkers OM; Vandenbroucke JP; le Cessie S
    J Clin Epidemiol; 2014 Nov; 67(11):1258-64. PubMed ID: 25124167
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Instrumental Variable Analyses and Selection Bias.
    Canan C; Lesko C; Lau B
    Epidemiology; 2017 May; 28(3):396-398. PubMed ID: 28169934
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Effects of adjusting for instrumental variables on bias and precision of effect estimates.
    Myers JA; Rassen JA; Gagne JJ; Huybrechts KF; Schneeweiss S; Rothman KJ; Joffe MM; Glynn RJ
    Am J Epidemiol; 2011 Dec; 174(11):1213-22. PubMed ID: 22025356
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Adjusting for bias and unmeasured confounding in Mendelian randomization studies with binary responses.
    Palmer TM; Thompson JR; Tobin MD; Sheehan NA; Burton PR
    Int J Epidemiol; 2008 Oct; 37(5):1161-8. PubMed ID: 18463132
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Inclusion of binary proxy variables in logistic regression improves treatment effect estimation in observational studies in the presence of binary unmeasured confounding variables.
    Rosenbaum C; Yu Q; Buzhardt S; Sutton E; Chapple AG
    Pharm Stat; 2023; 22(6):995-1015. PubMed ID: 37986712
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A tutorial on the use of instrumental variables in pharmacoepidemiology.
    Ertefaie A; Small DS; Flory JH; Hennessy S
    Pharmacoepidemiol Drug Saf; 2017 Apr; 26(4):357-367. PubMed ID: 28239929
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Sensitivity analysis and power for instrumental variable studies.
    Wang X; Jiang Y; Zhang NR; Small DS
    Biometrics; 2018 Dec; 74(4):1150-1160. PubMed ID: 29603714
    [TBL] [Abstract][Full Text] [Related]  

  • 17. The productivity of mental health care: an instrumental variable approach.
    Lu M
    J Ment Health Policy Econ; 1999 Jun; 2(2):59-71. PubMed ID: 11967410
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Performance of instrumental variable methods in cohort and nested case-control studies: a simulation study.
    Uddin MJ; Groenwold RH; de Boer A; Belitser SV; Roes KC; Hoes AW; Klungel OH
    Pharmacoepidemiol Drug Saf; 2014 Feb; 23(2):165-77. PubMed ID: 24306965
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Estimation of treatment effects in observational stroke care data: comparison of statistical approaches.
    Amini M; van Leeuwen N; Eijkenaar F; van de Graaf R; Samuels N; van Oostenbrugge R; van den Wijngaard IR; van Doormaal PJ; Roos YBWEM; Majoie C; Roozenbeek B; Dippel D; Burke J; Lingsma HF;
    BMC Med Res Methodol; 2022 Apr; 22(1):103. PubMed ID: 35399057
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Instrumental variable analysis in the context of dichotomous outcome and exposure with a numerical experiment in pharmacoepidemiology.
    Koladjo BF; Escolano S; Tubert-Bitter P
    BMC Med Res Methodol; 2018 Jun; 18(1):61. PubMed ID: 29929467
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.